Triple
T24630977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association football |
E609672
|
entity |
| Predicate | foulsPenalizedBy |
P156825
|
FINISHED |
| Object | free kick |
—
|
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: free kick | Statement: [Association football, foulsPenalizedBy, free kick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foulsPenalizedBy Context triple: [Association football, foulsPenalizedBy, free kick]
-
A.
penaltyFrom7thFoul
Indicates that a penalty situation arises as a result of committing a seventh foul.
-
B.
penaltyFrom10thFoul
Indicates that a penalty situation arises as a result of a team or player committing their tenth foul.
-
C.
fouls6AndBelow
Indicates that one entity commits a foul or infraction against another, where the total number of such fouls is six or fewer.
-
D.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
E.
foulLimitPerPlayer
Indicates the maximum number of fouls that any single player is allowed to commit before a penalty or disqualification occurs.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.