Triple

T15796045
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth South E382980 entity
Predicate federalElectorate P1971 FINISHED
Object Spence E382973 NE 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: Spence | Statement: [Elizabeth South, federalElectorate, Spence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spence
Context triple: [Elizabeth South, federalElectorate, Spence]
  • A. Spence
    Spence is a surname most notably associated with Michael Spence, the Nobel Prize–winning economist known for his work on signaling in markets.
  • B. Spence chosen
    Spence is an Australian federal electoral division in South Australia, represented in the House of Representatives.
  • C. Spence
    Spence is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • D. Spence
    Spence is a skilled and cautious former intelligence operative who serves as one of the professional mercenaries in the action-thriller film "Ronin."
  • E. Spencer
    Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dc887081909d682ae153f06d97 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.