Triple
T5930521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic women's football tournament |
E131924
|
entity |
| Predicate | hasThirdPlaceMatch |
P66778
|
FINISHED |
| Object | yes |
—
|
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 | Statement: [Olympic women's football tournament, hasThirdPlaceMatch, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThirdPlaceMatch Context triple: [Olympic women's football tournament, hasThirdPlaceMatch, yes]
-
A.
isThirdMLSChampionshipMatch
Indicates that the match is the third championship (final) game in the history of Major League Soccer.
-
B.
secondRoundThirdPlace
Indicates that an entity finished in third place in the second round of a competition or selection process.
-
C.
firstRoundThirdPlace
Indicates that an entity finished in third place in the first round of a competition or selection process.
-
D.
hasSemifinalGame
Indicates that an entity is associated with a specific game that takes place in the semifinal round of a competition or tournament.
-
E.
hasChampionshipMatch
Indicates that an entity is associated with a specific championship-level match, typically as an organizer, participant, or host.
- F. None of above. chosen
Provenance (4 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.