Triple
T37360498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 UEFA Europa League Final |
E927563
|
entity |
| Predicate | BenficaGoals |
P181721
|
FINISHED |
| Object | 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: 1 | Statement: [2013 UEFA Europa League Final, BenficaGoals, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BenficaGoals Context triple: [2013 UEFA Europa League Final, BenficaGoals, 1]
-
A.
numberOfGoalsForBenfica
chosen
Indicates the total number of goals that were scored by Benfica in the given context or event.
-
B.
numberOfAppearancesForBenfica
Indicates the number of times an entity has appeared in matches for the Benfica football club.
-
C.
ChelseaGoals
Indicates that the event or record involves goals scored by the football club Chelsea.
-
D.
aggregateScoreVsBenfica
Indicates the overall combined score achieved in matches played against Benfica across all relevant legs or encounters.
-
E.
PortugalGoalscorer
Indicates that an entity is a player who scored a goal for the Portugal national football team in a given match or context.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.