Triple
T33941486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Royal Fighters |
E870177
|
entity |
| Predicate | foundedAsCBAFranchise |
P46462
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Beijing Royal Fighters, foundedAsCBAFranchise, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsCBAFranchise Context triple: [Beijing Royal Fighters, foundedAsCBAFranchise, 2014]
-
A.
hasNBAFranchiseHistoryFrom
Indicates that an entity has a history of operating an NBA franchise originating from a specified location or organization.
-
B.
foundedAsVirginiaSquires
Indicates that the entity was originally established or began its existence under the name "Virginia Squires."
-
C.
foundedAsFranchiseYear
chosen
Indicates the year in which an entity was established specifically as a franchise.
-
D.
numberOfCBAChampionships
Indicates the total count of CBA championships that an entity has won.
-
E.
foundedFranchise
Indicates that an entity established or created a particular franchise.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 1, 2026, 1:49 a.m.