Triple
T14997910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durbin, West Virginia |
E374007
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Pocahontas County |
E76484
|
NE 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: Pocahontas County | Statement: [Durbin, West Virginia, county, Pocahontas County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pocahontas County Context triple: [Durbin, West Virginia, county, Pocahontas County]
-
A.
Pocahontas County
chosen
Pocahontas County is a largely rural, mountainous county in eastern West Virginia known for its outdoor recreation, scenic beauty, and role as the birthplace of several major rivers.
-
B.
Nelson County
Nelson County is a county in central Kentucky known for its historic towns and prominent role in the state's bourbon whiskey production.
-
C.
Nelson County
Nelson County is a rural county in northeastern North Dakota known for its agricultural landscape and small communities.
-
D.
Nelson County
Nelson County is a rural county in central Virginia known for its Blue Ridge Mountain scenery, outdoor recreation, and historic small communities.
-
E.
Page County
Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d6ddbc81908b010a54ee728dfe |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 2:54 a.m.