Triple
T36333126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1983 European Cup Final vs Juventus |
E894705
|
entity |
| Predicate | Juventus country |
P86066
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [1983 European Cup Final vs Juventus, Juventus country, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Juventus country Context triple: [1983 European Cup Final vs Juventus, Juventus country, Italy]
-
A.
Juventus nationality
Indicates that an entity has the nationality associated with the Juventus football club (i.e., is from the country represented by Juventus).
-
B.
captainOfJuventus
Indicates the role of being the team captain of the Juventus football club.
-
C.
featuredItalianClub
Indicates that an Italian club is highlighted or given special prominence in a particular context or collection.
-
D.
countryOfAssociatedClub
chosen
Indicates the country with which a given club is officially associated or based.
-
E.
scoreJuventus
Indicates that an entity scores a goal for the Juventus football team in 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.