Triple
T9796920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weather Forecast Office |
E237738
|
entity |
| Predicate | typicalCoverageArea |
P19200
|
FINISHED |
| Object | multiple counties |
—
|
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: multiple counties | Statement: [Weather Forecast Office, typicalCoverageArea, multiple counties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCoverageArea Context triple: [Weather Forecast Office, typicalCoverageArea, multiple counties]
-
A.
networkCoverage
Indicates the extent to which a network’s signal or service is available across a given area or to specific entities.
-
B.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
C.
regionCoverage
chosen
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
D.
hasCoveringRadius
Indicates the maximum distance from any point in a space to the nearest point in a given set, defining how well that set covers the space.
-
E.
altitudeCoverageCharacteristic
Indicates the range or specific values of altitude over which something (such as a system, sensor, or service) is designed to operate or provide 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda6264160819080da4805b213753f |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.