Triple
T16603958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane Bullets |
E403402
|
entity |
| Predicate | numberOfNBLChampionships |
P123501
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Brisbane Bullets, numberOfNBLChampionships, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBLChampionships Context triple: [Brisbane Bullets, numberOfNBLChampionships, 3]
-
A.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
B.
hasNBLChampionship
Indicates that an entity has won at least one championship title in the National Basketball League (NBL).
-
C.
NBAChampion
Indicates that an entity has won the National Basketball Association (NBA) championship title for a given season.
-
D.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
E.
NBAChampionshipWinner
Indicates that the subject is the team or player that won the NBA championship in a given season.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d77d97c8190a63330897e49a9c9 |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.