Triple
T31701662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Triangles |
E809070
|
entity |
| Predicate | originalNFLFranchise |
P203055
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dayton Triangles, originalNFLFranchise, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNFLFranchise Context triple: [Dayton Triangles, originalNFLFranchise, true]
-
A.
hasHistoricNFLFranchise
Indicates that a location or entity has been home to an NFL franchise that existed in the past, whether or not that franchise is still active or located there.
-
B.
hostsSportsFranchise
Indicates that one entity serves as the home location or base city/venue for a professional sports franchise.
-
C.
team1SuperBowlWinningFranchise
Indicates that the first team entity is a franchise that has won at least one Super Bowl.
-
D.
originalUSFLFranchise
Indicates that a franchise is one of the original member teams of the United States Football League (USFL).
-
E.
playedForNFLTeam
Indicates that a person was a member of and played for a specific NFL 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
| PDg | Predicate description generation | batch_6a0119127ca481909e921e7d95716b00 |
completed | May 10, 2026, 11:47 p.m. |
Created at: April 30, 2026, 11:12 p.m.