Triple
T28963153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Andorra |
E731966
|
entity |
| Predicate | competitionCountryAssociation |
P174383
|
FINISHED |
| Object | Royal Spanish Football Federation |
—
|
NE NERFINISHED |
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: Royal Spanish Football Federation | Statement: [FC Andorra, competitionCountryAssociation, Royal Spanish Football Federation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionCountryAssociation Context triple: [FC Andorra, competitionCountryAssociation, Royal Spanish Football Federation]
-
A.
sportGoverningBodyCountry
Indicates that a sports governing body is officially associated with or represents a particular country.
-
B.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
-
C.
namedAfterCountryAssociation
Indicates that one entity is named after, or derives its name from, a specific country.
-
D.
LänderRepresentedIn
Indicates that certain countries have official representation or presence within a specified entity or context.
-
E.
clubCountryReferenced
Indicates that a club is associated with or located in a particular country.
- F. None of above. chosen
Provenance (4 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 28, 2026, 8:50 a.m.