Triple
T15409407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elk River |
E368544
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | West Virginia |
E24143
|
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: West Virginia | Statement: [Elk River, locatedIn, West Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Virginia Context triple: [Elk River, locatedIn, West Virginia]
-
A.
West Virginia
chosen
West Virginia is a landlocked, mountainous U.S. state in the Appalachian region, known for its coal mining history, outdoor recreation, and distinct cultural heritage.
-
B.
W.D. Va.
W.D. Va. is the standard legal abbreviation for the United States District Court for the Western District of Virginia, a federal trial court within the Fourth Circuit.
-
C.
La Virginia
La Virginia is a municipality in western Colombia known for its location along the Cauca River and its role as a commercial and transport hub in the Risaralda Department.
-
D.
WV
WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
-
E.
Virginia
Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135d65988190b35392bdf1e45985 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.