Triple
T19540231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor County |
E488877
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Reading, 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: Reading, Vermont | Statement: [Windsor County, containsSettlement, Reading, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading, Vermont Context triple: [Windsor County, containsSettlement, Reading, Vermont]
-
A.
Reading, Vermont
chosen
Reading, Vermont is a small rural town in Windsor County known for its scenic landscapes and classic New England character.
-
B.
St. George, Vermont
St. George, Vermont is a small town in northwestern Vermont known for being the least populous town in Chittenden County.
-
C.
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.
-
D.
Underhill, Vermont
Underhill, Vermont is a small rural town in northwestern Vermont known for its scenic landscapes near Mount Mansfield and its location within the Burlington metropolitan area.
-
E.
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.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63871d00881909ed7371ae5577957 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.