Triple
T29710301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru vs Denmark |
E751759
|
entity |
| Predicate | penaltyMissMinute |
P168675
|
FINISHED |
| Object | 45+1 |
—
|
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: 45+1 | Statement: [Peru vs Denmark, penaltyMissMinute, 45+1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyMissMinute Context triple: [Peru vs Denmark, penaltyMissMinute, 45+1]
-
A.
penaltyMinute
Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
-
B.
penaltyMissInExtraTimeBy
Indicates that a penalty kick was missed during extra time by a specified entity.
-
C.
penaltyMinutesCharacteristic
Indicates the amount of time in penalty minutes associated with an entity, typically reflecting infractions or rule violations.
-
D.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
E.
penaltyFrom10thFoul
Indicates that a penalty situation arises as a result of a team or player committing their tenth foul.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 7:30 p.m.