Triple
T33425255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selecciones juveniles de fútbol de Ecuador |
E855957
|
entity |
| Predicate | región deportiva |
P1015
|
FINISHED |
| Object | Sudamérica |
—
|
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: Sudamérica | Statement: [selecciones juveniles de fútbol de Ecuador, región deportiva, Sudamérica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: región deportiva Context triple: [selecciones juveniles de fútbol de Ecuador, región deportiva, Sudamérica]
-
A.
sportsRegionOf
chosen
Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
-
B.
sportsDistrict
Indicates that a district is associated with or designated for sports-related activities, facilities, or organizations.
-
C.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
D.
stateSport
Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
-
E.
sportSection
Indicates that something belongs to, appears in, or is categorized under the sports section of a larger collection or publication.
- 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.