Triple
T1069408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Nuggets (ABA) |
E23288
|
entity |
| Predicate | divisionTitleCountABA |
P19826
|
FINISHED |
| Object | multiple Western Division titles |
—
|
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 Western Division titles | Statement: [Denver Nuggets (ABA), divisionTitleCountABA, multiple Western Division titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionTitleCountABA Context triple: [Denver Nuggets (ABA), divisionTitleCountABA, multiple Western Division titles]
-
A.
divisionTitleCount
chosen
Indicates the number of titles or championships associated with a particular division.
-
B.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
-
C.
divisionTitles
Indicates that an entity holds or is associated with one or more titles or championships within a specific division or category.
-
D.
divisionAbbreviation
Indicates that one entity is the standard shortened or abbreviated form of the name of a division associated with another entity.
-
E.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b914b4908190886d6698294c6b5b |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.