Triple
T33425278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | afiliaciónFIFA |
P156414
|
FINISHED |
| Object | FIFA |
—
|
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: FIFA | Statement: [selección femenina de fútbol de Ecuador, afiliaciónFIFA, FIFA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afiliaciónFIFA Context triple: [selección femenina de fútbol de Ecuador, afiliaciónFIFA, FIFA]
-
A.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
B.
fifaAffiliationOfAssociation
chosen
Indicates that a football association is officially affiliated with or recognized by FIFA.
-
C.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
D.
fifaAffiliationRegion
Indicates the regional football confederation or geographic region with which an entity is affiliated under FIFA.
-
E.
fifaAffiliationThrough
Indicates a formal connection or membership between an entity and FIFA that is established or mediated through an intermediate organization, agreement, or mechanism.
- F. None of above.
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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:36 a.m.