Triple

T12386126
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate rankByPopulationInIndia P104684 FINISHED
Object one of the largest metropolitan regions in India LITERAL 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: one of the largest metropolitan regions in India | Statement: [Kolkata Metropolitan Area, rankByPopulationInIndia, one of the largest metropolitan regions in India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankByPopulationInIndia
Context triple: [Kolkata Metropolitan Area, rankByPopulationInIndia, one of the largest metropolitan regions in India]
  • A. rankByLengthInIndia
    Indicates an ordering of items based on their length specifically within the context or boundaries of India.
  • B. populationRankInWestBengal
    Indicates the relative position of an entity in terms of population size compared to other entities within West Bengal.
  • C. rankWithinBritishIndia
    Indicates the relative hierarchical position or status an entity held within the administrative, military, or social ranking system of British India.
  • D. populationRankInTelangana
    Indicates the relative position of an entity in terms of population size compared to other entities within Telangana.
  • E. areaRankInPakistan
    Indicates the relative position of an entity when all entities in Pakistan are ordered by their area size.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
PDg Predicate description generation batch_69d93fa244148190a960be3ff6f1cf45 completed April 10, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:54 p.m.