Triple

T6540238
Position Surface form Disambiguated ID Type / Status
Subject Princess Ozma E168266 entity
Predicate father P120 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, father, Pastoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pastoria
Context triple: [Princess Ozma, father, 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. Mogilany
    Mogilany is a village in southern Poland that serves as the seat of Gmina Mogilany within the Lesser Poland Voivodeship.
  • C. Valdosta
    Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
  • D. 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.
  • E. Van Nest
    Van Nest is a residential neighborhood in the East Bronx of New York City, known for its diverse community and mix of row houses, small apartment buildings, and local businesses.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53b861c81908adc984a3067d4ef completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.