Triple
T38463399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Fuel |
E912504
|
entity |
| Predicate | franchiseAnnounced |
P191428
|
FINISHED |
| Object | 2017-09 |
—
|
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: 2017-09 | Statement: [Dallas Fuel, franchiseAnnounced, 2017-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseAnnounced Context triple: [Dallas Fuel, franchiseAnnounced, 2017-09]
-
A.
proposedFranchise
Indicates that one entity has put forward or suggested the establishment of a franchise relationship with another entity.
-
B.
laterFranchiseHolder
Indicates that one entity became the franchise holder of something at a later time than another entity, succeeding the earlier franchise holder.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
publishesFranchise
Indicates that one entity (typically a publisher) is responsible for releasing or distributing a particular franchise.
-
E.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:31 p.m.