Triple

T12259637
Position Surface form Disambiguated ID Type / Status
Subject Celia E292186 entity
Predicate hasSingle P3282 FINISHED
Object Ole E699998 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: Ole | Statement: [Celia, hasSingle, Ole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ole
Context triple: [Celia, hasSingle, Ole]
  • A. Ole chosen
    Ole is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • B. Olle
    Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
  • C. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Otse
    Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e63da6081908840b1e37fd39b88 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.