Triple
T9079987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | León |
E217591
|
entity |
| Predicate | hasInternationalParticipation |
P18417
|
FINISHED |
| Object | yes, in CONCACAF competitions |
—
|
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: yes, in CONCACAF competitions | Statement: [León, hasInternationalParticipation, yes, in CONCACAF competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalParticipation Context triple: [León, hasInternationalParticipation, yes, in CONCACAF competitions]
-
A.
hasEuropeanParticipation
Indicates that an entity involves or includes participation from European individuals, organizations, or countries.
-
B.
hasGlobalParticipation
chosen
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
-
C.
hasInternationalCommission
Indicates that an entity is associated with, overseen by, or participates in an international commission.
-
D.
hasInternationalEvent
Indicates that an entity hosts, organizes, or is associated with an event involving participants or significance across multiple countries.
-
E.
countryParticipation
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.