Triple
T7914335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Abraham |
E183780
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Lincoln, Vermont |
E269771
|
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: Lincoln, Vermont | Statement: [Mount Abraham, nearestTown, Lincoln, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln, Vermont Context triple: [Mount Abraham, nearestTown, Lincoln, Vermont]
-
A.
Lincoln, Vermont
chosen
Lincoln, Vermont is a small rural town in the Green Mountains known for its scenic landscapes, outdoor recreation, and close-knit community.
-
B.
Fairfield, Vermont
Fairfield, Vermont is a small rural town in Franklin County best known as the birthplace of the 21st U.S. president, Chester A. Arthur.
-
C.
Warren, Vermont
Warren, Vermont is a small New England town in the Mad River Valley known for its scenic mountain setting, outdoor recreation, and proximity to Sugarbush Resort.
-
D.
Hancock, Vermont
Hancock, Vermont is a small rural town nestled in the Green Mountains of central Vermont, known for its scenic landscapes and outdoor recreation opportunities.
-
E.
Williston, Vermont
Williston, Vermont is a suburban town in northwestern Vermont known for its rapid commercial growth and proximity to Burlington.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd670e289c8190a376782df11604aa |
completed | April 1, 2026, 6:42 p.m. |
Created at: March 30, 2026, 5:04 p.m.