Triple

T3842866
Position Surface form Disambiguated ID Type / Status
Subject Leganés E93493 entity
Predicate hasFootballClub P346 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: [Leganés, hasFootballClub, CD Leganés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CD Leganés
Context triple: [Leganés, hasFootballClub, 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 Guadalajara
    CD Guadalajara is a Spanish football club based in Guadalajara that competes in the country’s lower professional divisions.
  • C. Les Corts
    Les Corts is a district in the western part of Barcelona, Spain, known for its residential character and for hosting the FC Barcelona stadium, Camp Nou.
  • D. Getafe
    Getafe is a city in central Spain that forms part of the Madrid metropolitan area and is known for its industrial base, university campus, and air force history.
  • E. Rayo Vallecano
    Rayo Vallecano is a Spanish football club from the Madrid neighborhood of Vallecas, known for its working-class identity and passionate local support.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5122ba6a4819099986e50f42f2a92 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.