Triple
T38462889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajmer Sharif Dargah |
E912493
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object |
Dargah Committee Ajmer
Dargah Committee Ajmer is the statutory body responsible for managing and administering the affairs, upkeep, and religious activities of the Ajmer Sharif Dargah in Rajasthan, India.
|
E2271862
|
NE FINISHED |
How this triple was built (2 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: Dargah Committee Ajmer | Statement: [Ajmer Sharif Dargah, governingBody, Dargah Committee Ajmer]
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: Dargah Committee Ajmer Triple: [Ajmer Sharif Dargah, governingBody, Dargah Committee Ajmer]
Generated description
Dargah Committee Ajmer is the statutory body responsible for managing and administering the affairs, upkeep, and religious activities of the Ajmer Sharif Dargah in Rajasthan, India.
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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce2c2b4c8190bd600142f771efdb |
completed | May 7, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccb4d9b08190b7896dda59475a35 |
completed | June 29, 2026, 1:39 a.m. |
| NEDg | Description generation | batch_6a41cdab97bc8190a6fef8d57f05a86e |
completed | June 29, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ce4cee4481909d34941327630fb7 |
completed | June 29, 2026, 1:45 a.m. |
Created at: May 3, 2026, 4:31 p.m.