Triple
T15997625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamoille County |
E388012
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Belvidere, Vermont |
—
|
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: Belvidere, Vermont | Statement: [Lamoille County, contains, Belvidere, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvidere, Vermont Context triple: [Lamoille County, contains, Belvidere, Vermont]
-
A.
Belvidere, Vermont
chosen
Belvidere, Vermont is a small rural town in northern Vermont known for its mountainous landscape and quiet, sparsely populated community.
-
B.
Benson, Vermont
Benson, Vermont is a small rural town in Rutland County known for its agricultural landscape and location near the western border of the state.
-
C.
Barnard, Vermont
Barnard, Vermont is a small rural town in central Vermont known for its scenic lakes, forests, and classic New England character.
-
D.
Beldingsville, Vermont
Beldingsville, Vermont is the fictional New England town that serves as the primary setting of Eleanor H. Porter’s classic novel "Pollyanna."
-
E.
Wolcott, Vermont
Wolcott, Vermont is a small rural town located in northeastern Vermont within Lamoille County, known for its scenic landscapes and quiet, close-knit community.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.