Triple
T23598039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1997–98 with Inter Milan |
E582671
|
entity |
| Predicate | quarterFinalAggregateScore |
P152861
|
FINISHED |
| Object | 2–1 |
—
|
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: 2–1 | Statement: [UEFA Cup 1997–98 with Inter Milan, quarterFinalAggregateScore, 2–1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterFinalAggregateScore Context triple: [UEFA Cup 1997–98 with Inter Milan, quarterFinalAggregateScore, 2–1]
-
A.
quarterScores
Indicates the scores achieved in each quarter of a game, match, or period-based event.
-
B.
quarterFinalOpponent
Indicates that one entity is the opponent faced by another entity in a quarter-final stage of a competition or tournament.
-
C.
scoringSummaryFourthQuarter
Indicates the scoring events or point totals that occurred during the fourth quarter of a game.
-
D.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
opponentPointsAfterThreeQuarters
Indicates the number of points the opposing team has scored by the end of the third quarter of a game.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b091992c819085f8aa6cb91cb76a |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.