Triple

T19816277
Position Surface form Disambiguated ID Type / Status
Subject Andrews Ganj E476065 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Defence Colony NE NERFINISHED

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: Defence Colony | Statement: [Andrews Ganj, hasNearbyLocality, Defence Colony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Defence Colony
Context triple: [Andrews Ganj, hasNearbyLocality, Defence Colony]
  • A. Defence Colony chosen
    Defence Colony is an upscale residential and commercial neighborhood in South Delhi known for its affluent residents, eateries, and central location.
  • B. Pathan Colony
    Pathan Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
  • C. Qasba Colony
    Qasba Colony is a residential neighborhood in the SITE Town area of Karachi, Pakistan, known for its dense population and urban character.
  • D. Delhi Cantonment
    Delhi Cantonment is a prominent military area in New Delhi that serves as a major base and administrative center for the Indian Armed Forces.
  • E. Bihar Colony
    Bihar Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.