Triple
T19943589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Write Your Own insurance companies |
E479366
|
entity |
| Predicate | policyCoverageArea |
P136191
|
FINISHED |
| Object | Special Flood Hazard Areas |
—
|
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: Special Flood Hazard Areas | Statement: [Write Your Own insurance companies, policyCoverageArea, Special Flood Hazard Areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyCoverageArea Context triple: [Write Your Own insurance companies, policyCoverageArea, Special Flood Hazard Areas]
-
A.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
B.
hasAreaOfCoverage
chosen
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
-
C.
coversPolicyArea
Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
-
D.
providesCoverage
Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
-
E.
serviceCovered
Indicates that a particular service is included within the scope, benefits, or obligations defined by a given plan, agreement, or coverage.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a64b2788190a49c4ed40aa93b98 |
completed | April 20, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.