Triple
T33425248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selecciones juveniles de fútbol de Ecuador |
E855957
|
entity |
| Predicate | representa a |
P182616
|
FINISHED |
| Object | Ecuador |
—
|
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: Ecuador | Statement: [selecciones juveniles de fútbol de Ecuador, representa a, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representa a Context triple: [selecciones juveniles de fútbol de Ecuador, representa a, Ecuador]
-
A.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
B.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
C.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
-
D.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
-
E.
wRepresents
chosen
Indicates that one entity stands for, symbolizes, or serves as a representation of another entity in some context.
- 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_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 1, 2026, 1:36 a.m.