Triple
T15175530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghent, West Virginia |
E362597
|
entity |
| Predicate | regionalIndustryContext |
P24922
|
FINISHED |
| Object | coalfield region of West Virginia |
—
|
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: coalfield region of West Virginia | Statement: [Ghent, West Virginia, regionalIndustryContext, coalfield region of West Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalIndustryContext Context triple: [Ghent, West Virginia, regionalIndustryContext, coalfield region of West Virginia]
-
A.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
B.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
-
C.
servesIndustrialRegion
Indicates that an entity provides services or support to an industrial region, fulfilling functional or operational needs of that area.
-
D.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
E.
isIndustrialRegion
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.