Triple
T25590438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steaua București |
E641507
|
entity |
| Predicate | EuropeanCupTitle |
P158876
|
FINISHED |
| Object | 1985–86 |
—
|
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: 1985–86 | Statement: [Steaua București, EuropeanCupTitle, 1985–86]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanCupTitle Context triple: [Steaua București, EuropeanCupTitle, 1985–86]
-
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.
EuropeanCupWinnersCupTitles
Indicates the number of European Cup Winners' Cup titles an entity has won.
-
D.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
E.
EuropeanCompetition
Indicates a relationship where an entity participates in, qualifies for, or is associated with a European-level competition or tournament.
- F. None of above. chosen
Provenance (4 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f96cc064819088071450af183d1c |
completed | May 2, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 4:19 p.m.