Triple
T4654879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TensorFlow Extended |
E102383
|
entity |
| Predicate | supportsOrchestrator |
P58238
|
FINISHED |
| Object |
Apache Airflow
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring complex workflows and data pipelines.
|
E457354
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Apache Airflow | Statement: [TensorFlow Extended, supportsOrchestrator, Apache Airflow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache Airflow Context triple: [TensorFlow Extended, supportsOrchestrator, Apache Airflow]
-
A.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
B.
Apache Spark
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
C.
Apache Beam
Apache Beam is an open-source unified programming model for defining and executing batch and streaming data processing pipelines across multiple execution engines.
-
D.
Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for developing and executing batch and streaming data processing pipelines, based on Apache Beam, within the Google Cloud ecosystem.
-
E.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apache Airflow Triple: [TensorFlow Extended, supportsOrchestrator, Apache Airflow]
Generated description
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring complex workflows and data pipelines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apache Airflow Target entity description: Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring complex workflows and data pipelines.
-
A.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
B.
Apache Spark
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
C.
Apache Beam
Apache Beam is an open-source unified programming model for defining and executing batch and streaming data processing pipelines across multiple execution engines.
-
D.
Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for developing and executing batch and streaming data processing pipelines, based on Apache Beam, within the Google Cloud ecosystem.
-
E.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOrchestrator Context triple: [TensorFlow Extended, supportsOrchestrator, Apache Airflow]
-
A.
orchestrator
Indicates coordinating and directing the actions or interactions of multiple entities to achieve a unified outcome.
-
B.
orchestratedFor
Indicates that one entity planned, coordinated, or arranged something specifically on behalf of or for the benefit of another entity.
-
C.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
D.
supportsOrbitRegimes
Indicates that one entity is capable of operating in, accommodating, or being compatible with specific orbital regimes of another entity.
-
E.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6317ba70819089145766d3462e57 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaef125c819097d79f25608302dc |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfc0964c881909e6b98a1c8ea747f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfce1be788190ae3418df301e5136 |
completed | March 21, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:14 p.m.