Triple
T3599882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Badgers |
E76228
|
entity |
| Predicate | womenIceHockeyNationalChampionships |
P50146
|
FINISHED |
| Object | multiple NCAA 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 titles | Statement: [Wisconsin Badgers, womenIceHockeyNationalChampionships, multiple NCAA titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenIceHockeyNationalChampionships Context triple: [Wisconsin Badgers, womenIceHockeyNationalChampionships, multiple NCAA titles]
-
A.
womenIceHockeyResult
Indicates the outcome or result of a women’s ice hockey game or competition between specified participants.
-
B.
WorldCupOfHockeyWinner
Indicates the team that won the specified edition of the World Cup of Hockey.
-
C.
IIHFWorldChampionshipsParticipant
Indicates that an entity takes part as a competitor or team in the IIHF World Championships ice hockey tournament.
-
D.
worldCupOfHockeyTitles
Indicates the number of World Cup of Hockey championship titles an entity has won.
-
E.
IIHFCode
Indicates the standardized code assigned by the International Ice Hockey Federation (IIHF) to identify a national ice hockey association or team.
- 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.