Triple
T17771947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division III Women’s Cross Country Championships |
E443660
|
entity |
| Predicate | nonScholarshipLevel |
P105124
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [NCAA Division III Women’s Cross Country Championships, nonScholarshipLevel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonScholarshipLevel Context triple: [NCAA Division III Women’s Cross Country Championships, nonScholarshipLevel, true]
-
A.
nonScholastic
Indicates that an activity, event, or attribute is related to areas outside formal academic or scholarly pursuits.
-
B.
isNonScholarshipProgram
Indicates that a program operates without providing scholarships or financial aid to its participants.
-
C.
nonDegreeGranting
Indicates that the institution or program does not confer formal academic degrees.
-
D.
nonScholarshipAthletics
chosen
Indicates participation in athletic activities or programs that are not associated with a scholarship award.
-
E.
allowsNonScholarshipPrograms
Indicates that an entity permits the operation or participation of programs that do not offer scholarships.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e486005770819085d637279b2334eb |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.