Triple

T8373676
Position Surface form Disambiguated ID Type / Status
Subject North Delhi E197519 entity
Predicate contains P35 FINISHED
Object Alipur E738317 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: Alipur | Statement: [North Delhi, contains, Alipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alipur
Context triple: [North Delhi, contains, Alipur]
  • A. Alipur
    Alipur is a city in southern Punjab, Pakistan, known as a local commercial and administrative center in the Muzaffargarh District.
  • B. Alipur chosen
    Alipur is a locality in the northern part of Delhi, India, known for its role in regional governance and its mix of urban and semi-rural character.
  • C. Ballabgarh
    Ballabgarh is a historic town and industrial hub in the Faridabad district of Haryana, India, known for its markets, temples, and manufacturing activity.
  • D. Bhaderwahi
    Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
  • E. Azadpur
    Azadpur is a locality in North Delhi, India, known for its major wholesale fruit and vegetable market and connectivity via the Delhi Metro.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a7cab881909d8cca66a340dceb completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea813e384819090a8a7dc05e41ab2 completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:01 p.m.