Triple

T16294769
Position Surface form Disambiguated ID Type / Status
Subject Getafe CF E395618 entity
Predicate hasRival P1375 FINISHED
Object CD Leganés E392402 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: CD Leganés | Statement: [Getafe CF, hasRival, CD Leganés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CD Leganés
Context triple: [Getafe CF, hasRival, CD Leganés]
  • A. CD Leganés chosen
    CD Leganés is a Spanish professional football club based in Leganés, Madrid, known for competing in La Liga and the Segunda División.
  • B. CD Castellón
    CD Castellón is a Spanish football club based in Castellón de la Plana, known for its historic presence in the national leagues and strong local support.
  • C. CD Mérida
    CD Mérida is a Spanish football club historically based in Mérida, Extremadura, that has competed in the country’s professional league system.
  • D. CD Guadalajara
    CD Guadalajara is a Spanish football club based in Guadalajara that competes in the country’s lower professional divisions.
  • E. CD Parque Europa
    CD Parque Europa is a local football club based in Torrejón de Ardoz, Spain, competing in the regional tiers of Spanish football.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.