Triple
T28193050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 2012 Golden Boot |
E716368
|
entity |
| Predicate | minutesPlayedByWinner |
P164116
|
FINISHED |
| Object | 189 |
—
|
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: 189 | Statement: [UEFA Euro 2012 Golden Boot, minutesPlayedByWinner, 189]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minutesPlayedByWinner Context triple: [UEFA Euro 2012 Golden Boot, minutesPlayedByWinner, 189]
-
A.
timeDuringMatch
Indicates that a specified time or time interval occurs within the duration of a particular match or game.
-
B.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
C.
gameWinningScoreTimeRemaining
Indicates the amount of time left in the game when the decisive, game-winning score was made.
-
D.
typicalGameTime
Indicates the usual or expected amount of time a game takes to play.
-
E.
finalScore90Minutes
Indicates the final score of a match after the standard 90 minutes of regular playing time, excluding any extra time or penalty shootouts.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642cf92d88190bdb919fc9fb18c2b |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:26 p.m.