Triple
T11487748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maccabi Tel Aviv B.C. |
E272323
|
entity |
| Predicate | hasWonEuroLeagueTitles |
P99760
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Maccabi Tel Aviv B.C., hasWonEuroLeagueTitles, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonEuroLeagueTitles Context triple: [Maccabi Tel Aviv B.C., hasWonEuroLeagueTitles, multiple]
-
A.
euroLeagueChampion
Indicates that the subject is the team or individual that won the EuroLeague championship in the specified season or year.
-
B.
euroBasketTitles
Indicates the number of EuroBasket championship titles an entity (typically a national basketball team) has won.
-
C.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
D.
UEFAEuropaLeagueTitles
Indicates the number of UEFA Europa League championship titles an entity has won.
-
E.
numberOfUEFAEuropaConferenceLeagueTitles
Indicates the number of UEFA Europa Conference League titles that an entity has won.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1fc9688190aacc2eed64229b79 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.