Triple
T38038188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina House Districts covering Dare County |
E949406
|
entity |
| Predicate | policyFocusArea |
P60745
|
FINISHED |
| Object | coastal management |
—
|
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: coastal management | Statement: [North Carolina House Districts covering Dare County, policyFocusArea, coastal management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyFocusArea Context triple: [North Carolina House Districts covering Dare County, policyFocusArea, coastal management]
-
A.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
B.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
-
C.
policyAreaScope
chosen
Indicates the specific policy domain or thematic area to which an action, decision, or measure is relevant or applies.
-
D.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
-
E.
policyPillar
Indicates that something (such as a program, measure, or objective) belongs to, supports, or is categorized under a particular policy pillar within a broader policy framework.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:20 p.m.