Triple
T16750852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Mountain Lake |
E407070
|
entity |
| Predicate | locatedOnLandform |
P30683
|
FINISHED |
| Object | October Mountain |
—
|
NE NERFINISHED |
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: October Mountain | Statement: [Washington Mountain Lake, locatedOnLandform, October Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: October Mountain Context triple: [Washington Mountain Lake, locatedOnLandform, October Mountain]
-
A.
October Mountain
chosen
October Mountain is the highest elevation in October Mountain State Forest, a prominent natural feature in the Berkshire region of western Massachusetts.
-
B.
Gray Mountain
Gray Mountain is a legal thriller novel by John Grisham that follows a young lawyer uncovering corruption and environmental crimes in a small Appalachian coal town.
-
C.
Snowshoe Mountain
Snowshoe Mountain is a major ski resort and year-round outdoor recreation destination located in the Allegheny Mountains of West Virginia.
-
D.
Ice Mountain
Ice Mountain is a regional bottled water brand in the United States known for its spring water sourced from Midwestern aquifers.
-
E.
Snow Mountain
Snow Mountain is one of Taiwan’s highest and most prominent peaks, renowned for its alpine scenery and popular hiking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:21 a.m.