Triple
T6559905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauley River |
E152552
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Lower Gauley |
E152552
|
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: Lower Gauley | Statement: [Gauley River, hasSection, Lower Gauley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Gauley Context triple: [Gauley River, hasSection, Lower Gauley]
-
A.
Gauley River
chosen
The Gauley River is a renowned whitewater river in West Virginia, famous for its challenging rapids and popular rafting opportunities.
-
B.
Cheoah River
The Cheoah River is a mountain river in western North Carolina known for its steep gradient, whitewater rapids, and popularity among kayakers and rafters.
-
C.
Shavers Fork
Shavers Fork is a major headwater stream of the Cheat River in West Virginia, known for its scenic mountain setting and trout fishing opportunities.
-
D.
Glen Creek
Glen Creek is a stream that flows through Watkins Glen State Park in New York, carving the park’s famous gorges and waterfalls.
-
E.
Piney Run
Piney Run is a stream in central Maryland that serves as a significant tributary feeding into the Patapsco 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae22442081909bd6e2ba0091c56b |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42523848190b02682e6a640ac05 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:52 p.m.