Triple
T33425313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | tipoMiembroFIFA |
P40367
|
FINISHED |
| Object | miembro de pleno derecho |
—
|
LITERAL 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: miembro de pleno derecho | Statement: [selección femenina de fútbol de Ecuador, tipoMiembroFIFA, miembro de pleno derecho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoMiembroFIFA Context triple: [selección femenina de fútbol de Ecuador, tipoMiembroFIFA, miembro de pleno derecho]
-
A.
typeOfMembershipInFIFA
chosen
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
B.
fifaMembership
Indicates that an entity is a member association or organization officially affiliated with FIFA.
-
C.
fifaCompetitionLevel
Indicates the level or tier of a FIFA-sanctioned competition in which an entity participates or to which it belongs.
-
D.
FIFAmemberSince
Indicates the date or year from which an entity has been a member of FIFA.
-
E.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
- 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_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.