Triple
T11554696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Sportsmanship Award |
E273986
|
entity |
| Predicate | divisionRepresentation |
P100281
|
FINISHED |
| Object | one finalist from each NBA division |
—
|
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: one finalist from each NBA division | Statement: [NBA Sportsmanship Award, divisionRepresentation, one finalist from each NBA division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionRepresentation Context triple: [NBA Sportsmanship Award, divisionRepresentation, one finalist from each NBA division]
-
A.
divisionFormat
Indicates the specific structural or organizational format in which a division or subdivision is arranged or presented.
-
B.
divisionContext
Indicates the situational or conceptual setting in which a division operation or separation between entities takes place.
-
C.
divisionAbove
Indicates that one entity is positioned in a higher or superior division, tier, or level relative to another entity.
-
D.
divisionExample
Indicates an example that illustrates or demonstrates a particular division or partitioning of something.
-
E.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.