Triple
T33425296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | regiónRepresentada |
P38668
|
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: [selección femenina de fútbol de Ecuador, regiónRepresentada, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regiónRepresentada Context triple: [selección femenina de fútbol de Ecuador, regiónRepresentada, Ecuador]
-
A.
represented region
chosen
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
B.
politicalRegionRepresented
Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
-
C.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
D.
subnationalRegion
Indicates that one region is a subdivision or administrative part of a larger nation or country.
-
E.
primaryRegionRepresented
Indicates the main geographic or administrative region that an entity officially represents or speaks for.
- 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_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.