Triple
T14595606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shady Spring |
E342553
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Beckley |
E38693
|
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: Beckley | Statement: [Shady Spring, nearbyCity, Beckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckley Context triple: [Shady Spring, nearbyCity, Beckley]
-
A.
Beckley, West Virginia
chosen
Beckley, West Virginia is a small city in southern West Virginia known historically as a coal-mining and transportation hub and now as a regional center for commerce, education, and outdoor recreation near the New River Gorge.
-
B.
Saylesville
Saylesville is a historic mill village located within the town of Lincoln in Providence County, Rhode Island.
-
C.
Clarksburg
Clarksburg is a small town located in the northern part of Massachusetts, near the Vermont border, known for its rural character and natural scenery.
-
D.
Buckhannon, West Virginia
Buckhannon, West Virginia is a small city in north-central West Virginia known as the county seat of Upshur County and home to West Virginia Wesleyan College.
-
E.
Shirlington
Shirlington is a vibrant urban village in Arlington, Virginia, known for its walkable mix of restaurants, shops, theaters, and residential developments.
- 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_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_69fe388298c0819083c6bd7259c02d08 |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:25 a.m.