Triple
T33425240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | selecciones juveniles de fútbol de Ecuador |
E855957
|
entity |
| Predicate | deporte |
P887
|
FINISHED |
| Object | fútbol |
—
|
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: fútbol | Statement: [selecciones juveniles de fútbol de Ecuador, deporte, fútbol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deporte Context triple: [selecciones juveniles de fútbol de Ecuador, deporte, fútbol]
-
A.
sport
chosen
Indicates that an entity participates in, is associated with, or is characterized by a particular athletic activity or game.
-
B.
sportsAndRecreation
Indicates a relationship where an entity is associated with, involved in, or designated for sports or recreational activities.
-
C.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
-
D.
sportsLevel
Indicates the degree or intensity of involvement, skill, or competitiveness associated with a sport or sporting activity.
-
E.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
- 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.