Triple
T27650752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallacanestro Varese |
E696846
|
entity |
| Predicate | EuropeanCupsWon |
P158876
|
FINISHED |
| Object | FIBA European Champions Cup |
—
|
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: FIBA European Champions Cup | Statement: [Pallacanestro Varese, EuropeanCupsWon, FIBA European Champions Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanCupsWon Context triple: [Pallacanestro Varese, EuropeanCupsWon, FIBA European Champions Cup]
-
A.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
B.
EuropeanCupWinnerWith
Indicates that one entity is the winner of a European Cup (or similar continental competition) in association with, or while being part of, the other entity.
-
C.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
D.
EuropeanCupWinnersCupTitles
Indicates the number of European Cup Winners' Cup titles an entity has won.
-
E.
EuropeanCupTitle
chosen
Indicates that an entity (typically a sports team or club) has won a European Cup title.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f631d4dfbc819094c0e200e214ec08 |
completed | May 2, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:31 p.m.