Triple
T12191875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonín Panenka scored a chipped penalty in the shoot-out |
E290482
|
entity |
| Predicate | penaltyTakerPosition |
P104227
|
FINISHED |
| Object | midfielder |
—
|
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: midfielder | Statement: [Antonín Panenka scored a chipped penalty in the shoot-out, penaltyTakerPosition, midfielder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyTakerPosition Context triple: [Antonín Panenka scored a chipped penalty in the shoot-out, penaltyTakerPosition, midfielder]
-
A.
penaltyShootOutLocation
Indicates the specific place or venue where a penalty shoot-out event occurs.
-
B.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
-
C.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
D.
penaltyShootoutSaveBy
Indicates that a penalty kick taken during a shootout is successfully saved or stopped by a specified goalkeeper.
-
E.
usesPenaltyShootouts
Indicates that the outcome of a match or competition is decided by conducting penalty shootouts.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.