Triple
T478675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colo-Colo |
E9116
|
entity |
| Predicate | womenTeamCompetition |
P13104
|
FINISHED |
| Object | Chilean women’s football league |
—
|
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: Chilean women’s football league | Statement: [Colo-Colo, womenTeamCompetition, Chilean women’s football league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenTeamCompetition Context triple: [Colo-Colo, womenTeamCompetition, Chilean women’s football league]
-
A.
womenTeam
chosen
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
C.
numberOfFemaleAthletes
Indicates the count of athletes who are female in a given context or group.
-
D.
playsForTitle
Indicates that an entity performs or competes on behalf of a team, organization, or group under a specific title or designation.
-
E.
NLTeam
Indicates that there is a team relationship or membership association between entities, typically linking individuals to a specific team.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.