Triple
T5930545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic women's football tournament |
E131924
|
entity |
| Predicate | extraTimeUsedInKnockout |
P35409
|
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, extraTimeUsedInKnockout, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extraTimeUsedInKnockout Context triple: [Olympic women's football tournament, extraTimeUsedInKnockout, yes]
-
A.
usesExtraTimeInLaterRounds
Indicates that an entity allocates or consumes additional time during later stages or rounds of an activity, process, or event.
-
B.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
C.
finalAfterExtraTime
chosen
Indicates that the final outcome or result is determined after an additional period of extra time beyond the regular duration.
-
D.
goalsInExtraTime
Indicates that the related entity scored goals specifically during the extra time period of a match, beyond regular playing time.
-
E.
hasKnockoutStageDraw
Indicates that an event or competition includes a defined draw or bracket structure for its knockout stage matches.
- 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_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. |
Created at: March 22, 2026, 4 p.m.