Triple

T22690977
Position Surface form Disambiguated ID Type / Status
Subject La Sele E561049 entity
Predicate nickname P55 FINISHED
Object La Sele NE NERFINISHED

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: La Sele | Statement: [La Sele, nickname, La Sele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Sele
Context triple: [La Sele, nickname, La Sele]
  • A. La Sele chosen
    La Sele is the popular nickname for Costa Rica’s national football team, known for its passionate fan base and memorable World Cup performances.
  • B. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • C. Mocheno
    Mocheno is a Germanic minority language spoken by a small community in northeastern Italy, particularly in the Trentino region.
  • D. Las Bela
    Las Bela is a coastal region in southwestern Pakistan’s Balochistan province, known for its distinct Lasi culture, language, and historical ties to the former princely state of Las Bela.
  • E. Tiras
    Tiras is a biblical figure listed in the Book of Genesis as one of the sons of Japheth and a grandson of Noah.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.