Triple
T22866465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Star Belgrade |
E567066
|
entity |
| Predicate | IntercontinentalTitleCount |
P65064
|
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: [Red Star Belgrade, IntercontinentalTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IntercontinentalTitleCount Context triple: [Red Star Belgrade, IntercontinentalTitleCount, 1]
-
A.
IntercontinentalChampionshipReigns
Indicates the number or record of times an entity has held the Intercontinental Championship title.
-
B.
intercontinentalTitleMatch
Indicates a competitive match held to determine or defend an intercontinental championship title between qualifying participants.
-
C.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
D.
intercontinentalTitle
chosen
Indicates a title or championship that is contested between or spans multiple continents.
-
E.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:38 p.m.