Triple

T30738751
Position Surface form Disambiguated ID Type / Status
Subject Vellore district administration E782634 entity
Predicate associatedWith P37 FINISHED
Object Vellore district police
Vellore district police is the law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security within Vellore district in Tamil Nadu, India.
E1929476 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: Vellore district police | Statement: [Vellore district administration, associatedWith, Vellore district police]
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: Vellore district police
Triple: [Vellore district administration, associatedWith, Vellore district police]
Generated description
Vellore district police is the law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security within Vellore district in Tamil Nadu, 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68ee9435081908efcb423c2eaf1ab completed May 2, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a289918823c8190be121a21fb6f0883 completed June 9, 2026, 10:52 p.m.
NEDg Description generation batch_6a2899be081c8190ba9cd748063e8dc0 completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289ae6104c8190920332fe93d01b15 completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:37 p.m.