Triple
T15523873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Trezeguet |
E369033
|
entity |
| Predicate | typeOfGoalInEuro2000Final |
P41461
|
FINISHED |
| Object | golden goal |
—
|
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: golden goal | Statement: [David Trezeguet, typeOfGoalInEuro2000Final, golden goal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGoalInEuro2000Final Context triple: [David Trezeguet, typeOfGoalInEuro2000Final, golden goal]
-
A.
euro2004FinalScore
Indicates the final match score between the competing teams in the UEFA Euro 2004 tournament.
-
B.
competitionGoal
Indicates that one entity’s objective or desired outcome is defined in the context of a competition involving another entity.
-
C.
OlympicGoalDefinition
Indicates that something specifies the criteria, conditions, or characteristics that define what qualifies as an Olympic goal.
-
D.
goldenGoalRuleUsed
chosen
Indicates that the outcome of a match or competition was determined using the golden goal rule, where the first score in extra time immediately ends the game.
-
E.
goalOfSide1
Indicates that the specified entity represents the objective or intended outcome pursued by the first side/party in a two-sided interaction or conflict.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:05 a.m.