Triple

T19600327
Position Surface form Disambiguated ID Type / Status
Subject Politics of Maharashtra E470453 entity
Predicate councilSeatCount P20742 FINISHED
Object 78 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: 78 | Statement: [Politics of Maharashtra, councilSeatCount, 78]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: councilSeatCount
Context triple: [Politics of Maharashtra, councilSeatCount, 78]
  • A. hasNumberOfCouncillors
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • B. hasCouncilSeat
    Indicates that an entity holds a position or seat on a governing council.
  • C. electoralRegionSeatCount
    Indicates the number of seats allocated to a given electoral region within a representative body or legislature.
  • D. legislativeCouncilSeats chosen
    Indicates the number of seats held or allocated in a legislative council within a given political or administrative context.
  • E. parliamentarySeatsTotal
    Indicates the total number of seats in a given parliament or parliamentary body.
  • F. None of above.

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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.