Triple
T3901679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1995–96 |
E90506
|
entity |
| Predicate | finalFirstLegScore |
P8914
|
FINISHED |
| Object | 2–0 |
—
|
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: 2–0 | Statement: [UEFA Cup 1995–96, finalFirstLegScore, 2–0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalFirstLegScore Context triple: [UEFA Cup 1995–96, finalFirstLegScore, 2–0]
-
A.
firstScoreTeam
Indicates which team scored first in a game or match.
-
B.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
-
C.
team1Score
chosen
Indicates the number of points or goals achieved by the first team in a game or competition.
-
D.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
-
E.
openingMatchScore
Indicates the degree of similarity or compatibility between an opening (e.g., a position, role, or opportunity) and a given candidate or item, typically expressed as a numeric score.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.