Triple
T3599883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Badgers |
E76228
|
entity |
| Predicate | crossCountryNationalChampionships |
P50147
|
FINISHED |
| Object | multiple NCAA men's titles |
—
|
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: multiple NCAA men's titles | Statement: [Wisconsin Badgers, crossCountryNationalChampionships, multiple NCAA men's titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossCountryNationalChampionships Context triple: [Wisconsin Badgers, crossCountryNationalChampionships, multiple NCAA men's titles]
-
A.
crossCountrySkiingVenue
Indicates that a location serves as a venue or site where cross-country skiing activities or events take place.
-
B.
crossCountryCourseNotableFor
Indicates that a cross-country course is distinguished or recognized for a particular feature, quality, or characteristic.
-
C.
stateChampionship
Indicates that an entity has won or holds a championship title at the state level.
-
D.
continentalCompetition
Indicates a competitive relationship or event that takes place at, or is organized across, the level of an entire continent.
-
E.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19fd57481908ce5c9daf168e213 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9261a948190b67f6c6ac0dae2e9 |
completed | March 8, 2026, 6 p.m. |
Created at: March 8, 2026, 3:22 p.m.