Triple
T13664848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Vermont |
E327090
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Waitsfield |
E207065
|
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: Waitsfield | Statement: [central Vermont, contains, Waitsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waitsfield Context triple: [central Vermont, contains, Waitsfield]
-
A.
Waitsfield, Vermont
chosen
Waitsfield, Vermont is a small town in the Mad River Valley known for its scenic Green Mountain setting, outdoor recreation, and classic New England village character.
-
B.
Wheelock, Vermont
Wheelock, Vermont is a small rural town located in Caledonia County in the northeastern region of the state.
-
C.
Winhall, Vermont
Winhall, Vermont is a small town in southern Vermont known for its rural character and proximity to popular ski areas such as Stratton Mountain.
-
D.
Landgrove, Vermont
Landgrove, Vermont is a small rural town in southern Vermont known for its scenic Green Mountain setting and traditional New England character.
-
E.
Hinesburg, Vermont
Hinesburg, Vermont is a small rural town in northwestern Vermont known for its scenic landscapes, farming heritage, and proximity to the Burlington metropolitan area.
- 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_69feb7ca3e348190a75c1dd8aec73a40 |
completed | May 9, 2026, 4:27 a.m. |
Created at: April 9, 2026, 9:52 p.m.