Triple
T15744620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China women's national football team |
E381689
|
entity |
| Predicate | decidingMethod1999WorldCupFinal |
P68822
|
FINISHED |
| Object | penalty shoot-out |
—
|
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: penalty shoot-out | Statement: [China women's national football team, decidingMethod1999WorldCupFinal, penalty shoot-out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decidingMethod1999WorldCupFinal Context triple: [China women's national football team, decidingMethod1999WorldCupFinal, penalty shoot-out]
-
A.
decidingMethodForDrawnFinals
Indicates the method or procedure used to determine the outcome or winner when a final match or contest ends in a draw.
-
B.
finalMatchDecidedBy
chosen
Indicates that the outcome of a final match is determined by a specific method, event, or deciding factor.
-
C.
finalMatchDetermines
Indicates that the outcome of a final match decides or establishes a particular result, status, or consequence for the related entities.
-
D.
roleIn1999WorldCup
Indicates the specific capacity or position an entity held in relation to the 1999 World Cup event.
-
E.
WorldCupWin
Indicates that an entity has won the FIFA World Cup tournament in a given year or edition.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.