Triple

T24819226
Position Surface form Disambiguated ID Type / Status
Subject Division of Bennelong E621013 entity
Predicate formerPrimeMinisterRepresented P136997 FINISHED
Object John Howard NE NERFINISHED

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: John Howard | Statement: [Division of Bennelong, formerPrimeMinisterRepresented, John Howard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerPrimeMinisterRepresented
Context triple: [Division of Bennelong, formerPrimeMinisterRepresented, John Howard]
  • A. primeMinisterRepresented
    Indicates that a person served as the prime minister acting on behalf of, or in an official representative capacity for, a specific country, state, or governing body.
  • B. formerPrimeMinister chosen
    Indicates that the subject once held the position of prime minister of the object entity but no longer does.
  • C. formerPrimeMinisterMP
    Indicates that a person served as a prime minister in the past and also held a position as a member of parliament.
  • D. lastPrimeMinister
    Indicates that the subject is the most recent individual to have held the office of prime minister of the object entity.
  • E. representedByPrimeMinister
    Indicates that one entity serves as the prime minister who officially represents another entity (such as a country, government, or organization).
  • 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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f627aedf548190bc9f53c8a2d67b50 completed May 2, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
Created at: April 18, 2026, 5:04 a.m.