Triple
T1069380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Nuggets (ABA) |
E23288
|
entity |
| Predicate | foldedInABA |
P22162
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [Denver Nuggets (ABA), foldedInABA, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foldedInABA Context triple: [Denver Nuggets (ABA), foldedInABA, 1976]
-
A.
folded
Indicates that an entity has been bent or doubled over onto itself, typically along a line or crease, changing its original flat or extended form.
-
B.
foldedDuringSeason
Indicates that an entity ceased operations or disbanded during a specified sports season.
-
C.
foldedInLeague
chosen
Indicates that a sports team or organization has ceased operations and been absorbed or discontinued within a particular league.
-
D.
frozenIn
Indicates that one entity is immobilized or preserved in a solid, frozen state within or by another entity.
-
E.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
- 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.