Triple

T25684946
Position Surface form Disambiguated ID Type / Status
Subject 2011 Census of India E644040 entity
Predicate mostPopulousUnionTerritory P159183 FINISHED
Object Delhi 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: Delhi | Statement: [2011 Census of India, mostPopulousUnionTerritory, Delhi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mostPopulousUnionTerritory
Context triple: [2011 Census of India, mostPopulousUnionTerritory, Delhi]
  • A. borderingUnionTerritory
    Indicates that one entity shares a land or maritime boundary with a specified Union Territory.
  • B. locationUnionTerritory
    Indicates that a location is situated within, or is part of, a specific union territory.
  • C. governingUnionTerritory
    Indicates that a specified union territory is the administrative jurisdiction governing or responsible for another entity.
  • D. unionTerritoryWithoutLegislature
    Indicates that a union territory exists under central administration without having its own legislative assembly or lawmaking body.
  • E. wasUnionTerritoryAs
    Indicates that an entity held the status of a union territory during a specified time or under specified conditions.
  • F. None of above. chosen

Provenance (4 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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb7c000c819094efdcbb23ebddae completed May 2, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
PDg Predicate description generation batch_69f497b8abb88190bb672cf6907c4b8d completed May 1, 2026, 12:08 p.m.
Created at: April 21, 2026, 8:06 p.m.