Triple
T32827807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itaquerão |
E839598
|
entity |
| Predicate | hasHostedCompetition |
P59860
|
FINISHED |
| Object | Copa Libertadores matches |
—
|
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: Copa Libertadores matches | Statement: [Itaquerão, hasHostedCompetition, Copa Libertadores matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedCompetition Context triple: [Itaquerão, hasHostedCompetition, Copa Libertadores matches]
-
A.
hasHostedSport
chosen
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
-
B.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
-
C.
hasCoachedCompetition
Indicates that one entity has served as a coach for another entity in the context of a specific competition or contest.
-
D.
hasWonCompetition
Indicates that an entity has achieved victory in a competition or contest against others.
-
E.
hasCompetitionHistory
Indicates that an entity has a recorded history of participation in competitions or competitive events.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:16 a.m.