Triple
T12323388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Neptune |
E293773
|
entity |
| Predicate | supportsQueryLanguage |
P203
|
FINISHED |
| Object |
Apache TinkerPop Gremlin
Apache TinkerPop Gremlin is a graph traversal language and virtual machine used for querying and manipulating property graphs across various graph databases and frameworks.
|
E975101
|
NE FINISHED |
How this triple was built (4 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 TinkerPop Gremlin | Statement: [Amazon Neptune, supportsQueryLanguage, Apache TinkerPop Gremlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache TinkerPop Gremlin Context triple: [Amazon Neptune, supportsQueryLanguage, Apache TinkerPop Gremlin]
-
A.
GraphX
GraphX is Apache Spark’s distributed graph processing framework that enables large-scale graph computation and analysis using Spark’s resilient distributed datasets (RDDs).
-
B.
Oracle Spatial and Graph stack
Oracle Spatial and Graph stack is an Oracle Database feature set that provides advanced spatial data management, geospatial analytics, and graph processing capabilities for building location-aware and network-centric applications.
-
C.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
-
D.
CyberGraphX
CyberGraphX is a graphics subsystem and API originally developed for Amiga systems, providing advanced graphics card support and hardware-accelerated rendering.
-
E.
Blazegraph
Blazegraph is an open-source, high-performance graph database and triplestore engine designed for large-scale RDF data and SPARQL querying.
- 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 TinkerPop Gremlin Triple: [Amazon Neptune, supportsQueryLanguage, Apache TinkerPop Gremlin]
Generated description
Apache TinkerPop Gremlin is a graph traversal language and virtual machine used for querying and manipulating property graphs across various graph databases and frameworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apache TinkerPop Gremlin Target entity description: Apache TinkerPop Gremlin is a graph traversal language and virtual machine used for querying and manipulating property graphs across various graph databases and frameworks.
-
A.
GraphX
GraphX is Apache Spark’s distributed graph processing framework that enables large-scale graph computation and analysis using Spark’s resilient distributed datasets (RDDs).
-
B.
Oracle Spatial and Graph stack
Oracle Spatial and Graph stack is an Oracle Database feature set that provides advanced spatial data management, geospatial analytics, and graph processing capabilities for building location-aware and network-centric applications.
-
C.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
-
D.
CyberGraphX
CyberGraphX is a graphics subsystem and API originally developed for Amiga systems, providing advanced graphics card support and hardware-accelerated rendering.
-
E.
Blazegraph
Blazegraph is an open-source, high-performance graph database and triplestore engine designed for large-scale RDF data and SPARQL querying.
- F. None of above. chosen
Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4d7dac81909ff10e64e229ef33 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:53 p.m.