Triple
T7612164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartans |
E172265
|
entity |
| Predicate | NCAAteamNationalChampionships |
P59751
|
FINISHED |
| Object | multiple NCAA Division II national championships |
—
|
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 Division II national championships | Statement: [Spartans, NCAAteamNationalChampionships, multiple NCAA Division II national championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAteamNationalChampionships Context triple: [Spartans, NCAAteamNationalChampionships, multiple NCAA Division II national championships]
-
A.
collegeTeamChampionships
chosen
Indicates the championships or titles that a college sports team has won.
-
B.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
C.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
-
D.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
-
E.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.