Triple
T26107363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia's 3rd congressional district |
E658572
|
entity |
| Predicate | containedCounty |
P5971
|
FINISHED |
| Object | Cabell County, West Virginia |
—
|
NE NERFINISHED |
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: Cabell County, West Virginia | Statement: [West Virginia's 3rd congressional district, containedCounty, Cabell County, West Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containedCounty Context triple: [West Virginia's 3rd congressional district, containedCounty, Cabell County, West Virginia]
-
A.
includesCounty
chosen
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
B.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
C.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
D.
associatedWithCounty
Indicates that an entity has a relationship or linkage to a specific county, such as jurisdiction, location, or administrative association.
-
E.
homeCounty
Indicates that a specified county is the primary home or place of residence for a given person or entity.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 26, 2026, 7:59 p.m.