Triple

T13096331
Position Surface form Disambiguated ID Type / Status
Subject Celta de Vigo E310598 entity
Predicate shortName P43 FINISHED
Object Celta E965045 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: Celta | Statement: [Celta de Vigo, shortName, Celta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celta
Context triple: [Celta de Vigo, shortName, Celta]
  • A. Celta chosen
    Celta is a Spanish football club from Vigo, Galicia, best known for its passionate fanbase and historic rivalry with Deportivo La Coruña in the Galician derby.
  • B. Gallega
    Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
  • C. Gallaeci
    The Gallaeci were an ancient Celtic people who inhabited the northwestern Iberian Peninsula, in what is now mainly Galicia and northern Portugal, known for their distinctive tribal organization and resistance to Roman conquest.
  • D. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • E. Leonese
    Leonese is a Romance language of the Astur-Leonese group traditionally spoken in parts of northwestern Spain, particularly in the historical region of León.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d619b82c819093d0d98db88eb9ae completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.