Triple
T28461186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liga Premier de México |
E720157
|
entity |
| Predicate | isMenCompetition |
P156613
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Liga Premier de México, isMenCompetition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMenCompetition Context triple: [Liga Premier de México, isMenCompetition, true]
-
A.
competitionSex
chosen
Indicates a competitive interaction or contest that is specifically structured or differentiated based on the sex of the participants.
-
B.
isProfessionalCompetition
Indicates that the relationship involves a competition conducted at a professional level, typically among participants who engage in the activity as their occupation or primary paid pursuit.
-
C.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
D.
hasFemaleCompetitors
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
E.
isInternationalCompetition
Indicates that a competition involves participants or teams from multiple countries or spans more than one nation’s jurisdiction.
- 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ea596448190bf7c3cf5f1220770 |
completed | May 2, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:40 a.m.