Triple
T26751436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany Patroons |
E674546
|
entity |
| Predicate | numberOfCBAChampionships |
P196316
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Albany Patroons, numberOfCBAChampionships, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCBAChampionships Context triple: [Albany Patroons, numberOfCBAChampionships, 2]
-
A.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
-
B.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
C.
CBAChampionshipWonWith
Indicates that a team won a CBA championship while being associated with or led by a specified entity (such as a player or coach).
-
D.
hasNBLChampionship
Indicates that an entity has won at least one championship title in the National Basketball League (NBL).
-
E.
NBAChampion
Indicates that an entity has won the National Basketball Association (NBA) championship title for 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
| PDg | Predicate description generation | batch_69fe21afdc4c8190913ac4b55a9a5f52 |
completed | May 8, 2026, 5:47 p.m. |
Created at: April 27, 2026, 3:53 a.m.