Triple

T1477263
Position Surface form Disambiguated ID Type / Status
Subject Dadra and Nagar Haveli and Daman and Diu E30869 entity
Predicate legislativeRepresentationInLokSabha P20743 FINISHED
Object 2 seats 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: 2 seats | Statement: [Dadra and Nagar Haveli and Daman and Diu, legislativeRepresentationInLokSabha, 2 seats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislativeRepresentationInLokSabha
Context triple: [Dadra and Nagar Haveli and Daman and Diu, legislativeRepresentationInLokSabha, 2 seats]
  • A. LokSabhaSeats chosen
    Indicates the number of seats a political party or entity holds or is allocated in the Lok Sabha (the lower house of India’s Parliament).
  • B. votingSystemLokSabha
    Indicates the type or method of voting system used for elections to the Lok Sabha.
  • C. RajyaSabhaSeats
    Indicates the number of seats allocated or held in the Rajya Sabha (the upper house of the Indian Parliament) within a given political or administrative context.
  • D. parliamentaryConstituencyRepresented
    Indicates the relationship in which a person or entity serves as the elected representative for a specific parliamentary constituency.
  • E. areRepresentedIn
    Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69a4c484e52c81908948ff8c0a42751b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:11 p.m.