Triple
T18197084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 European Cup Final |
E435687
|
entity |
| Predicate | eintrachtFrankfurtGoals |
P9098
|
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: [1960 European Cup Final, eintrachtFrankfurtGoals, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eintrachtFrankfurtGoals Context triple: [1960 European Cup Final, eintrachtFrankfurtGoals, 3]
-
A.
FrankfurtGalaxyScore
Indicates a scoring relationship that assigns or records a performance or rating value associated with the Frankfurt Galaxy (e.g., in a game, season, or evaluation context).
-
B.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
C.
goalScorerTeam
Indicates that a team is the one for which a particular goal scorer scored a goal.
-
D.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
-
E.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d377d48190869a033d12f6ee80 |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.