Triple

T11273775
Position Surface form Disambiguated ID Type / Status
Subject Vavá E266877 entity
Predicate playedFor P2170 FINISHED
Object Elche CF E56251 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: Elche CF | Statement: [Vavá, playedFor, Elche CF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elche CF
Context triple: [Vavá, playedFor, Elche CF]
  • A. Elche CF chosen
    Elche CF is a Spanish professional football club based in Elche, Valencian Community, that competes in the country’s football league system and has a history of playing in La Liga.
  • B. Algeciras CF
    Algeciras CF is a Spanish football club based in Algeciras, Andalusia, competing in the lower divisions of the national league system.
  • C. Levante UD
    Levante UD is a professional football club based in Valencia, Spain, known for competing in La Liga and being one of the country’s historic teams.
  • D. Málaga CF
    Málaga CF is a Spanish professional football club based in Málaga that has competed in La Liga and European competitions, notably the UEFA Champions League.
  • E. Córdoba CF
    Córdoba CF is a Spanish football club based in the city of Córdoba, Andalusia, that has spent much of its history competing in the country’s lower professional divisions.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7b051988190abec04740df75c89 completed April 20, 2026, 5:20 a.m.
Created at: April 8, 2026, 9:31 p.m.