Triple
T24435487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2018–19 |
E616113
|
entity |
| Predicate | finalPenaltyScorer |
P91903
|
FINISHED |
| Object | Mohamed Salah |
—
|
NE NERFINISHED |
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: Mohamed Salah | Statement: [UEFA Champions League 2018–19, finalPenaltyScorer, Mohamed Salah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalPenaltyScorer Context triple: [UEFA Champions League 2018–19, finalPenaltyScorer, Mohamed Salah]
-
A.
decisivePenaltyScorer
Indicates that an entity scores a crucial penalty that decisively determines the outcome of a match or competition.
-
B.
penaltyScoredBy
chosen
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
C.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
-
D.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
penaltyPoints
Indicates that a certain number of negative points or demerits are assigned to an entity as a consequence of a rule violation, error, or infraction.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978638888190aef3ab5fc8bf0ed4 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.