Triple
T30258142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kure Beach Fire Department |
E769411
|
entity |
| Predicate | hasResponseEnvironment |
P13810
|
FINISHED |
| Object | urban interface |
—
|
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: urban interface | Statement: [Kure Beach Fire Department, hasResponseEnvironment, urban interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResponseEnvironment Context triple: [Kure Beach Fire Department, hasResponseEnvironment, urban interface]
-
A.
hasResponseMode
Indicates that an entity operates or behaves according to a particular mode or style of responding.
-
B.
hasEnvironmentType
chosen
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasResponseLine
Indicates that one entity includes, specifies, or is associated with a particular line of response provided by another entity or system.
-
D.
hasPrimaryEnvironment
Indicates that an entity is associated with its main or most characteristic environment or setting.
-
E.
hasEnvironmentalElement
Indicates that one entity includes, contains, or is associated with a specific environmental component or feature.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
Created at: April 29, 2026, 7:41 p.m.