Triple
T19760403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bearcat Stadium |
E474612
|
entity |
| Predicate | hasHomeTeamNationalChampionships |
P59751
|
FINISHED |
| Object | multiple NCAA Division II football 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 football championships | Statement: [Bearcat Stadium, hasHomeTeamNationalChampionships, multiple NCAA Division II football championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeTeamNationalChampionships Context triple: [Bearcat Stadium, hasHomeTeamNationalChampionships, multiple NCAA Division II football championships]
-
A.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
B.
collegeTeamChampionships
chosen
Indicates the championships or titles that a college sports team has won.
-
C.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
D.
nationalChampionshipParticipation
Indicates that an entity has taken part in a national-level championship competition.
-
E.
nationalTeamChampionships
Indicates the number of championship titles an entity has won at the national team level.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531f38b48190b1663870a8da5a59 |
completed | April 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.