Triple
T7883095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aggies |
E183030
|
entity |
| Predicate | nationalChampionshipFootball |
P18665
|
FINISHED |
| Object | 1939 AP national championship |
—
|
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: 1939 AP national championship | Statement: [Aggies, nationalChampionshipFootball, 1939 AP national championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalChampionshipFootball Context triple: [Aggies, nationalChampionshipFootball, 1939 AP national championship]
-
A.
nationalChampionshipTitle
chosen
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
B.
NCAAChampionship
Indicates that an entity has won, holds, or is otherwise associated with an NCAA (National Collegiate Athletic Association) championship title in a particular sport or event.
-
C.
FAcupTitles
Indicates that an entity has won a specified number of FA Cup titles.
-
D.
footballBowlSubdivision
Indicates that a college football team competes in the NCAA Football Bowl Subdivision (FBS) level.
-
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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d36574819092d70e24c37952d7 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:58 p.m.