Triple
T8082256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granada CF |
E188644
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Recreativo de Granada |
E188644
|
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: Recreativo de Granada | Statement: [Granada CF, originalName, Recreativo de Granada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recreativo de Granada Context triple: [Granada CF, originalName, Recreativo de Granada]
-
A.
Granada CF
chosen
Granada CF is a Spanish professional football club based in Granada, Andalusia, that competes in La Liga and is known for its passionate local support and historic presence in Spanish football.
-
B.
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.
-
C.
Gernika Club
Gernika Club is a Spanish football team based in the town of Gernika-Lumo in the Basque Country.
-
D.
Algeciras CF
Algeciras CF is a Spanish football club based in Algeciras, Andalusia, competing in the lower divisions of the national league system.
-
E.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415cb4688190920868317e77bbff |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63fba1148190b8d0f04faa5330a1 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:28 p.m.