Triple
T8358744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Banks |
E196746
|
entity |
| Predicate | marketingNameCoinedFor |
P24366
|
FINISHED |
| Object | inland coastal communities of North Carolina |
—
|
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: inland coastal communities of North Carolina | Statement: [Inner Banks, marketingNameCoinedFor, inland coastal communities of North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingNameCoinedFor Context triple: [Inner Banks, marketingNameCoinedFor, inland coastal communities of North Carolina]
-
A.
marketingNameOf
chosen
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
B.
originalMarketingName
Indicates the original marketing or brand name under which an entity (such as a product or service) was first promoted or sold.
-
C.
marketingNameEmphasizes
Indicates that a marketing name highlights or draws special attention to a particular feature, attribute, or aspect of something.
-
D.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
E.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb806fa5c88190b23b6b3ee9d6ec6d |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.