Triple

T36525344
Position Surface form Disambiguated ID Type / Status
Subject Kirpal Sagar E900286 entity
Predicate hasComponent P35 FINISHED
Object Kirpal Sagar Home for the Aged
Kirpal Sagar Home for the Aged is a residential care facility within the Kirpal Sagar charitable complex that provides shelter and support for elderly people.
E2187311 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: Kirpal Sagar Home for the Aged | Statement: [Kirpal Sagar, hasComponent, Kirpal Sagar Home for the Aged]
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: Kirpal Sagar Home for the Aged
Triple: [Kirpal Sagar, hasComponent, Kirpal Sagar Home for the Aged]
Generated description
Kirpal Sagar Home for the Aged is a residential care facility within the Kirpal Sagar charitable complex that provides shelter and support for elderly people.

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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c2173c048190932d09459b238390 completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbe38b6881908ec63b48b4f147c1 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39de5bb93481909ee74b44eb857a2d completed June 23, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_6a39df8d99648190afa15118801b0db1 completed June 23, 2026, 1:21 a.m.
Created at: May 3, 2026, 4:11 p.m.