Triple
T33425284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selección femenina de fútbol de Ecuador |
E855958
|
entity |
| Predicate | torneoRegional |
P176270
|
FINISHED |
| Object | Copa América Femenina |
—
|
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: Copa América Femenina | Statement: [selección femenina de fútbol de Ecuador, torneoRegional, Copa América Femenina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torneoRegional Context triple: [selección femenina de fútbol de Ecuador, torneoRegional, Copa América Femenina]
-
A.
regionTournament
chosen
Indicates a tournament that is held within, or associated with, a specific geographic or administrative region.
-
B.
confederationTournament
Indicates that a tournament is organized or sanctioned by a specific sports confederation.
-
C.
tournamentSpecific
Indicates that the relationship, condition, or data applies only within the context of a particular tournament and not generally across other contexts or events.
-
D.
regionalsNumber
Indicates the number of regional-level instances (such as events, competitions, or units) associated with an entity.
-
E.
tournamentUse
Indicates that a tournament utilizes or is conducted using a particular resource, format, rule set, or venue.
- 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.