Triple
T5166099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC7 |
E116560
|
entity |
| Predicate | brandUsedFor |
P23474
|
FINISHED |
| Object | local newscasts |
—
|
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: local newscasts | Statement: [ABC7, brandUsedFor, local newscasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandUsedFor Context triple: [ABC7, brandUsedFor, local newscasts]
-
A.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
B.
brandUsage
chosen
Indicates that one entity uses, features, or is associated with another entity’s brand in its products, services, or communications.
-
C.
brandUsedInCountry
Indicates that a particular brand is used or present within a specified country.
-
D.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
E.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792af4648190934cf2db523f6921 |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.