Triple

T1406553
Position Surface form Disambiguated ID Type / Status
Subject Princess Ozma E31704 entity
Predicate relative P37 FINISHED
Object Pastoria E168266 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: Pastoria | Statement: [Princess Ozma, relative, Pastoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pastoria
Context triple: [Princess Ozma, relative, Pastoria]
  • A. Pastoria chosen
    Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
  • B. Petersburgh, New York
    Petersburgh, New York is a small rural town in eastern New York State near the Vermont and Massachusetts borders, known for its scenic Taconic Mountains setting and historic mill and farming heritage.
  • C. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • D. Ronkonkoma
    Ronkonkoma is a hamlet in Suffolk County, New York, known as a major transportation hub on central Long Island.
  • E. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3be10348190ade8a73780d2c008 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232309c88190a4ba4f6de7b44035 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 7:59 p.m.