Triple

T33692460
Position Surface form Disambiguated ID Type / Status
Subject 香川1区 E863218 entity
Predicate 選出議員数 P31812 FINISHED
Object 1人 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: 1人 | Statement: [香川1区, 選出議員数, 1人]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 選出議員数
Context triple: [香川1区, 選出議員数, 1人]
  • A. numberOfElectedMembers chosen
    Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
  • B. electsCouncillorsTo
    Indicates a relationship where one entity selects or chooses individuals to serve as councillors in another entity or governing body.
  • C. electedBodyNumber
    Indicates the specific numbered term, session, or convocation of a governing or elected body with which an entity is associated.
  • D. hasNumberOfCouncillors
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • E. electorateNumber
    Indicates the numerical identifier assigned to a specific electorate or voting district within an electoral 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa8450bc8190abb59e0bb53c9d68 completed May 3, 2026, 7:34 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.