Triple

T11834950
Position Surface form Disambiguated ID Type / Status
Subject Xabi Alonso E281490 entity
Predicate youthClub P1088 FINISHED
Object Antiguoko E310495 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: Antiguoko | Statement: [Xabi Alonso, youthClub, Antiguoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antiguoko
Context triple: [Xabi Alonso, youthClub, Antiguoko]
  • A. Antiguoko chosen
    Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
  • B. Antiguo
    Antiguo is a coastal district of Donostia-San Sebastián in Spain, known for its beaches, residential areas, and proximity to Mount Igeldo.
  • C. Ancients
    The Ancients are an advanced, ascended humanoid race in the Stargate universe, known as the builders of the Stargates and the original inhabitants of the city-ship Atlantis.
  • D. Los Antiguos
    Los Antiguos is a small town in southern Argentina known for its cherry production and scenic location near Lake Buenos Aires in Santa Cruz Province.
  • E. Anio
    Anio is the Latin name for the Aniene, a river in central Italy that flows through the Lazio region and joins the Tiber near Rome.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16753f4f88190940e53312aff4333 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.