Triple
T4413403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA men’s cross country |
E94904
|
entity |
| Predicate | courseCharacteristic |
P26149
|
FINISHED |
| Object | varied elevation |
—
|
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: varied elevation | Statement: [NCAA men’s cross country, courseCharacteristic, varied elevation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseCharacteristic Context triple: [NCAA men’s cross country, courseCharacteristic, varied elevation]
-
A.
courseSetupCharacteristic
chosen
Indicates a defining setup-related property or configuration aspect associated with a course.
-
B.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
C.
universityCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
-
D.
courseStyle
Indicates the manner, format, or pedagogical approach in which a course is delivered or conducted.
-
E.
trainingCharacteristic
Indicates that an entity has a specific property, feature, or quality related to training (such as method, intensity, or style).
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.