Triple
T6611370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Penalty Kick |
E149244
|
entity |
| Predicate | goalkeeperPositionRequirement |
P72448
|
FINISHED |
| Object | goalkeeper must be on the goal line facing the kicker |
—
|
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: goalkeeper must be on the goal line facing the kicker | Statement: [The Penalty Kick, goalkeeperPositionRequirement, goalkeeper must be on the goal line facing the kicker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalkeeperPositionRequirement Context triple: [The Penalty Kick, goalkeeperPositionRequirement, goalkeeper must be on the goal line facing the kicker]
-
A.
goaltender
Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
-
B.
hasNumberOfGoaltenders
Indicates the specific count of goaltenders associated with a given team, roster, or game context.
-
C.
bestGoalkeeper
Indicates that the subject is considered the top-performing or most skilled goalkeeper among a specified group or context.
-
D.
losingGoaltender
Indicates that a particular goaltender is the one who was in net for the team that lost the game.
-
E.
goalHeight
Indicates the target or desired height that something is intended or planned to reach.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.