Triple
T12456638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irun |
E297676
|
entity |
| Predicate | sportsClub |
P8194
|
FINISHED |
| Object | Real Unión |
E963471
|
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: Real Unión | Statement: [Irun, sportsClub, Real Unión]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Unión Context triple: [Irun, sportsClub, Real Unión]
-
A.
Real Unión
chosen
Real Unión is a historic Spanish football club from Irun in the Basque Country, known as one of the early powers in Spanish football and a multiple Copa del Rey winner.
-
B.
Unión Española
Unión Española is a traditional and historically successful Chilean football club based in Santiago.
-
C.
Fundación España-Duero
Fundación España-Duero is a Spanish cultural and heritage foundation that manages and promotes historic properties and artistic initiatives, including the Gaudí-designed Casa Botines in León.
-
D.
Segunda Federación
Segunda Federación is a Spanish football league that serves as one of the lower tiers in the national league system beneath the professional divisions.
-
E.
Grupo Tordesillas
Grupo Tordesillas is an academic network that fosters cooperation in higher education and research among universities in Spain, Portugal, and Latin America.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.