Triple

T20554083
Position Surface form Disambiguated ID Type / Status
Subject Lajpat Nagar metro station E504670 entity
Predicate servesNeighbourhood P82 FINISHED
Object Amar 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: Amar Colony | Statement: [Lajpat Nagar metro station, servesNeighbourhood, Amar Colony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amar Colony
Context triple: [Lajpat Nagar metro station, servesNeighbourhood, Amar Colony]
  • A. Amar Colony chosen
    Amar Colony is a residential neighborhood in South Delhi, India, known for its dense housing, local markets, and proximity to major commercial areas.
  • B. Dayanand Colony
    Dayanand Colony is a residential neighborhood located within the Lajpat Nagar area of South Delhi, India.
  • C. Pathan Colony
    Pathan Colony is a residential neighborhood located within SITE Town in Karachi, Pakistan.
  • D. Kailash Colony
    Kailash Colony is an upscale residential and commercial neighborhood in South Delhi known for its central location, metro connectivity, and mix of markets, eateries, and housing.
  • E. Bilal Colony
    Bilal Colony is a residential neighborhood located within the Korangi District of 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dbe96c8190a278dfefdb4a5c43 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.