Triple
T10455552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky State Thorobreds and Thorobrettes |
E246541
|
entity |
| Predicate | footballChampionshipsSIAC |
P49423
|
FINISHED |
| Object | multiple |
—
|
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 | Statement: [Kentucky State Thorobreds and Thorobrettes, footballChampionshipsSIAC, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballChampionshipsSIAC Context triple: [Kentucky State Thorobreds and Thorobrettes, footballChampionshipsSIAC, multiple]
-
A.
FACupTitles
Indicates the number of FA Cup titles that an entity (typically a football club) has won.
-
B.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
-
C.
championshipLeague
Indicates that an entity is a championship-level competition or league in which teams or individuals compete for a title.
-
D.
FCSChampionshipSeasons
Indicates the seasons in which a team competed in the NCAA Division I FCS football championship game.
-
E.
conferenceChampionshipsInFootball
chosen
Indicates the number of conference championship titles a team has won in football.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:18 p.m.