Triple
T38655239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2024 Call of Duty League season |
E939873
|
entity |
| Predicate | isFranchised |
P191479
|
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: [2024 Call of Duty League season, isFranchised, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFranchised Context triple: [2024 Call of Duty League season, isFranchised, true]
-
A.
isFranchiseModel
Indicates that one entity operates under a franchising arrangement or business model authorized by another entity.
-
B.
isNationalFranchiseFor
Indicates that one entity operates as the nationally recognized franchise counterpart or branch for another entity.
-
C.
isTraditionalFranchiseIn
Indicates that a franchise operates in a given location under a traditional (standard, non-specialized) franchise agreement.
-
D.
hasFranchisees
Indicates that an entity operates as a franchisor and maintains one or more franchisee relationships with other entities authorized to use its brand or business model.
-
E.
establishedAsFranchise
Indicates that an entity has been set up or designated to operate as a franchise under a broader brand or business system.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.