Triple
T33425287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | añoDebutMundialFemenino |
P66342
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [selección femenina de fútbol de Ecuador, añoDebutMundialFemenino, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: añoDebutMundialFemenino Context triple: [selección femenina de fútbol de Ecuador, añoDebutMundialFemenino, 2015]
-
A.
WorldCupDebutYear
chosen
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
B.
FIFAWomensWorldCupAppearances
Indicates the number of times an entity has participated in the FIFA Women's World Cup tournament.
-
C.
FIFAWomen'sWorldCupAllTimeTopScorer
Indicates that the subject holds the record for scoring the most goals in the history of the FIFA Women's World Cup.
-
D.
fifaU17WorldCupDebutYear
Indicates the year in which an entity (typically a national team) first participated in the FIFA U-17 World Cup tournament.
-
E.
wasFirstWorldCupWith
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
- 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.