Triple
T24629220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zinedine Zidane’s volleyed goal in 2002 UEFA Champions League Final |
E609623
|
entity |
| Predicate | minute |
P82465
|
FINISHED |
| Object | 45 |
—
|
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 | Statement: [Zinedine Zidane’s volleyed goal in 2002 UEFA Champions League Final, minute, 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minute Context triple: [Zinedine Zidane’s volleyed goal in 2002 UEFA Champions League Final, minute, 45]
-
A.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
B.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
C.
minorUnitName
Indicates the name assigned to a smaller or subordinate unit within a larger structured entity or system.
-
D.
minuteOfGoal
chosen
Indicates the specific minute in a match when a particular goal was scored.
-
E.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.