Triple
T13664856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Vermont |
E327090
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Calais, Vermont |
E207359
|
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: Calais, Vermont | Statement: [central Vermont, contains, Calais, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calais, Vermont Context triple: [central Vermont, contains, Calais, Vermont]
-
A.
Calais, Vermont
chosen
Calais, Vermont is a small rural town in central Vermont known for its scenic landscapes, historic villages, and close-knit community.
-
B.
Cabot, Vermont
Cabot, Vermont is a small rural town in northern Vermont known for its agricultural heritage and as the namesake home of Cabot Creamery.
-
C.
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.
-
D.
Wheelock, Vermont
Wheelock, Vermont is a small rural town located in Caledonia County in the northeastern region of the state.
-
E.
Williamstown, Vermont
Williamstown, Vermont is a small rural town in central Vermont known for its scenic landscape and traditional New England character.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ce8f988190b503af0cd5f2a97e |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:52 p.m.