Triple
T15111065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windham Region |
E360911
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Readsboro, Vermont |
E705200
|
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: Readsboro, Vermont | Statement: [Windham Region, contains, Readsboro, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Readsboro, Vermont Context triple: [Windham Region, contains, Readsboro, Vermont]
-
A.
Readsboro, Vermont
chosen
Readsboro, Vermont is a small rural town in southern Vermont known for its forested landscape, outdoor recreation, and historic mill village character.
-
B.
Roxbury, Vermont
Roxbury, Vermont is a small rural town in central Vermont known for its mountainous landscape, forests, and outdoor recreation opportunities.
-
C.
Duxbury, Vermont
Duxbury, Vermont is a small rural town in central Vermont known for its forested landscape and proximity to the Green Mountains.
-
D.
Moretown, Vermont
Moretown, Vermont is a small rural town in central Vermont known for its scenic Green Mountain setting and proximity to the Mad River Valley.
-
E.
Wheelock, Vermont
Wheelock, Vermont is a small rural town located in Caledonia County in the northeastern region of the state.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058c04f481909deeac0271d961b6 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eb139c8190b76393e4a8be576b |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.