Triple
T26317266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division III |
E662004
|
entity |
| Predicate | spectatorOrientation |
P160240
|
FINISHED |
| Object | campus and community-based rather than commercial |
—
|
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: campus and community-based rather than commercial | Statement: [NCAA Division III, spectatorOrientation, campus and community-based rather than commercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectatorOrientation Context triple: [NCAA Division III, spectatorOrientation, campus and community-based rather than commercial]
-
A.
spectatorUse
Indicates that an entity observes or experiences an event, activity, or object without directly participating in or interacting with it.
-
B.
spectatorType
Indicates the role or category of a spectator in relation to an event or activity.
-
C.
spectatorEnvironment
Indicates the environmental conditions or setting in which a spectator observes an event or activity.
-
D.
spectatorAppeal
Indicates that an action, event, or entity is appealing, entertaining, or attractive to spectators or an audience.
-
E.
spectatorFormat
Indicates the format or mode in which an entity is viewed or experienced by spectators or observers.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f28e9588190b76581e150f4f27d |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:25 p.m.