Triple
T14595858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester |
E342562
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Lester, WV
Lester, WV is a small town in Raleigh County, West Virginia, known for its roots in the region’s coal-mining and Appalachian heritage.
|
E1108051
|
NE FINISHED |
How this triple was built (4 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: Lester, WV | Statement: [Lester, hasAbbreviation, Lester, WV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester, WV Context triple: [Lester, hasAbbreviation, Lester, WV]
-
A.
Lerona, West Virginia
Lerona, West Virginia is a small unincorporated community located in southern West Virginia.
-
B.
Vance, West Virginia
Vance, West Virginia is a small unincorporated community located in rural Hampshire County in the Eastern Panhandle region of the state.
-
C.
Sylvester, West Virginia
Sylvester, West Virginia is a small town located in the coal-mining region of southern West Virginia.
-
D.
Lehew, West Virginia
Lehew, West Virginia is an unincorporated rural community located in Hampshire County in the eastern part of the state.
-
E.
Talcott, West Virginia
Talcott, West Virginia is a small unincorporated community in Summers County best known for its association with the John Henry folk legend and its historic railroad tunnels.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lester, WV Triple: [Lester, hasAbbreviation, Lester, WV]
Generated description
Lester, WV is a small town in Raleigh County, West Virginia, known for its roots in the region’s coal-mining and Appalachian heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lester, WV Target entity description: Lester, WV is a small town in Raleigh County, West Virginia, known for its roots in the region’s coal-mining and Appalachian heritage.
-
A.
Lerona, West Virginia
Lerona, West Virginia is a small unincorporated community located in southern West Virginia.
-
B.
Vance, West Virginia
Vance, West Virginia is a small unincorporated community located in rural Hampshire County in the Eastern Panhandle region of the state.
-
C.
Sylvester, West Virginia
Sylvester, West Virginia is a small town located in the coal-mining region of southern West Virginia.
-
D.
Lehew, West Virginia
Lehew, West Virginia is an unincorporated rural community located in Hampshire County in the eastern part of the state.
-
E.
Talcott, West Virginia
Talcott, West Virginia is a small unincorporated community in Summers County best known for its association with the John Henry folk legend and its historic railroad tunnels.
- F. None of above. chosen
Provenance (5 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c81e608190848c290defcd84ac |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd971a0f088190bf03708dcb64fc89 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd97f447488190958e79d776e2ed47 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 10, 2026, 1:25 a.m.