Triple

T8106253
Position Surface form Disambiguated ID Type / Status
Subject Boca E189233 entity
Predicate nickname P55 FINISHED
Object Bosteros E190725 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: Bosteros | Statement: [Boca, nickname, Bosteros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosteros
Context triple: [Boca, nickname, Bosteros]
  • A. Bosteros chosen
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • B. Boland
    Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • E. Oxenberg
    Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f735c8819090d0d822644c0a51 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:31 p.m.