Triple
T28356216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIVB-TV |
E718233
|
entity |
| Predicate | marketDesignation |
P167911
|
FINISHED |
| Object | Designated Market Area: Buffalo, New York |
—
|
NE NERFINISHED |
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: Designated Market Area: Buffalo, New York | Statement: [WIVB-TV, marketDesignation, Designated Market Area: Buffalo, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketDesignation Context triple: [WIVB-TV, marketDesignation, Designated Market Area: Buffalo, New York]
-
A.
manufacturerDesignation
Indicates that a specific designation, code, or model identifier has been assigned by the manufacturer to the referenced product or item.
-
B.
clusterDesignation
Indicates that an entity is assigned to or identified as part of a specific cluster or grouping.
-
C.
bandDesignation
Indicates that one entity is formally assigned or labeled as belonging to a particular band, group, or category.
-
D.
commercialDesignation
Indicates the commercial or trade name under which a product, service, or entity is marketed or sold.
-
E.
bdDesignation
Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to another entity.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 12:49 a.m.