Triple

T6290512
Position Surface form Disambiguated ID Type / Status
Subject Mathura Lok Sabha constituency E141003 entity
Predicate previousElectionYear P70716 FINISHED
Object 2014 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: 2014 | Statement: [Mathura Lok Sabha constituency, previousElectionYear, 2014]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousElectionYear
Context triple: [Mathura Lok Sabha constituency, previousElectionYear, 2014]
  • A. reElectionYear
    Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
  • B. lastElection
    Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
  • C. firstElectionYear
    Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
  • D. previousMP
    Indicates that one entity served as a Member of Parliament for a given constituency or position immediately before another specified entity.
  • E. targetedOfficeElectionYear
    Indicates the year in which the election is held for the office that is the target of the relationship.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641ca91481909d49b700cef93ffe completed March 22, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69c060df0d8881908215575862ef6831 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c06284848c8190a0151ff3e8682889 completed March 22, 2026, 9:43 p.m.
Created at: March 22, 2026, 4:26 p.m.