Triple
T17280134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lashmeet family |
E419501
|
entity |
| Predicate | eponymOf |
P12247
|
FINISHED |
| Object | Lashmeet, West Virginia |
E88242
|
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: Lashmeet, West Virginia | Statement: [Lashmeet family, eponymOf, Lashmeet, West Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lashmeet, West Virginia Context triple: [Lashmeet family, eponymOf, Lashmeet, West Virginia]
-
A.
Lashmeet, West Virginia
chosen
Lashmeet, West Virginia is a small unincorporated community in Mercer County known for its rural Appalachian setting in the southern part of the state.
-
B.
Marmet, West Virginia
Marmet, West Virginia is a small town in the Kanawha River valley near Charleston, historically tied to coal mining and river transportation.
-
C.
Mathias, West Virginia
Mathias, West Virginia is a small unincorporated rural community located in the Appalachian region of eastern West Virginia.
-
D.
Shanks, West Virginia
Shanks, West Virginia is an unincorporated rural community located in Hampshire County in the eastern part of the state.
-
E.
Sylvester, West Virginia
Sylvester, West Virginia is a small town located in the coal-mining region of southern West Virginia.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43329904c8190a4cbc856b9b94ff8 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d29f4881908694f0182930d716 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.