Triple
T7937964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack |
E184327
|
entity |
| Predicate | messageQueue |
P33920
|
FINISHED |
| Object |
Kafka
Kafka is a distributed event streaming platform widely used for building real-time data pipelines and messaging systems.
|
E699739
|
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: Kafka | Statement: [OpenStack, messageQueue, Kafka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kafka Context triple: [OpenStack, messageQueue, Kafka]
-
A.
Kafka y sus precursores
Kafka y sus precursores es un célebre ensayo de Jorge Luis Borges en el que analiza la obra de Franz Kafka a través de sus antecedentes literarios y la idea de que un autor puede crear a sus precursores.
-
B.
Georg Kafka
Georg Kafka was a member of the Kafka family and a relative of the renowned writer Franz Kafka.
-
C.
Gabriele Kafka
Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
-
D.
Franz Kafka
Franz Kafka was a 20th-century Bohemian novelist and short-story writer whose surreal, existential works like "The Metamorphosis" and "The Trial" profoundly shaped modern literature.
-
E.
Ottla Kafka
Ottla Kafka was the youngest sister of writer Franz Kafka, known from his diaries and letters for their close relationship and her later persecution and death in the Holocaust.
- 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: Kafka Triple: [OpenStack, messageQueue, Kafka]
Generated description
Kafka is a distributed event streaming platform widely used for building real-time data pipelines and messaging systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kafka Target entity description: Kafka is a distributed event streaming platform widely used for building real-time data pipelines and messaging systems.
-
A.
Kafka y sus precursores
Kafka y sus precursores es un célebre ensayo de Jorge Luis Borges en el que analiza la obra de Franz Kafka a través de sus antecedentes literarios y la idea de que un autor puede crear a sus precursores.
-
B.
Georg Kafka
Georg Kafka was a member of the Kafka family and a relative of the renowned writer Franz Kafka.
-
C.
Gabriele Kafka
Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
-
D.
Franz Kafka
Franz Kafka was a 20th-century Bohemian novelist and short-story writer whose surreal, existential works like "The Metamorphosis" and "The Trial" profoundly shaped modern literature.
-
E.
Ottla Kafka
Ottla Kafka was the youngest sister of writer Franz Kafka, known from his diaries and letters for their close relationship and her later persecution and death in the Holocaust.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aef2394819086eea1f6ab117aed |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7634f4dc8190b5e537f24bccd651 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb67e77a48190b93c6ba61becfac4 |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:08 p.m.