Triple
T11803491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League final 1999-2000 |
E280685
|
entity |
| Predicate | goalsForTeam1 |
P8914
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [UEFA Champions League final 1999-2000, goalsForTeam1, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsForTeam1 Context triple: [UEFA Champions League final 1999-2000, goalsForTeam1, 3]
-
A.
team1Score
chosen
Indicates the number of points or goals achieved by the first team in a game or competition.
-
B.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
C.
homeTeamGoalsFirstHalf
Indicates the number of goals scored by the home team during the first half of a match.
-
D.
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.
-
E.
awayTeamGoalsFirstHalf
Indicates the number of goals scored by the away team during the first half of a match.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.