Triple
T15290602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biloxi Shuckers |
E365515
|
entity |
| Predicate | foundedAsCurrentFranchiseName |
P62616
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Biloxi Shuckers, foundedAsCurrentFranchiseName, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsCurrentFranchiseName Context triple: [Biloxi Shuckers, foundedAsCurrentFranchiseName, 2015]
-
A.
foundedFranchise
Indicates that an entity established or created a particular franchise.
-
B.
foundedAsFranchiseYear
Indicates the year in which an entity was established specifically as a franchise.
-
C.
foundedAsCurrentName
Indicates that an entity was originally founded under the same name it currently has, without having undergone a name change.
-
D.
team1FoundedAsCurrentName
Indicates that the first team entity was originally founded under its current name, rather than having changed names since its founding.
-
E.
currentFranchiseNameSince
chosen
Indicates the date or time from which the entity has been operating under its current franchise name.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.