Triple

T12083696
Position Surface form Disambiguated ID Type / Status
Subject Estadio Manuel Martínez Valero E287749 entity
Predicate replaced P101 FINISHED
Object Campo de Altabix E273990 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: Campo de Altabix | Statement: [Estadio Manuel Martínez Valero, replaced, Campo de Altabix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo de Altabix
Context triple: [Estadio Manuel Martínez Valero, replaced, Campo de Altabix]
  • A. Campo de Altabix chosen
    Campo de Altabix was the former home football stadium of Elche CF in Elche, Spain, used before the club moved to its modern ground.
  • B. Villablino
    Villablino is a municipality and former mining town in northwestern Spain, known for its mountainous surroundings and location in the Laciana valley of the Province of León.
  • C. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • D. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • E. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f666bf1c819089de1235617e775b completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.