Triple
T13664858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Vermont |
E327090
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Orange, Vermont |
E226326
|
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: Orange, Vermont | Statement: [central Vermont, contains, Orange, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange, Vermont Context triple: [central Vermont, contains, Orange, Vermont]
-
A.
Orange, Vermont
chosen
Orange, Vermont is a small rural town in central Vermont known for its scenic landscape and quiet, close-knit community.
-
B.
Orwell, Vermont
Orwell, Vermont is a small rural town in southwestern Vermont known for its agricultural landscape and historic New England character.
-
C.
Orange, New Hampshire
Orange, New Hampshire is a small rural town in Grafton County known for its mountainous terrain and proximity to Mount Cardigan.
-
D.
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.
-
E.
Walden, Vermont
Walden, Vermont is a small rural town located in northeastern Vermont within Caledonia County, known for its scenic landscapes and quiet, agricultural 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_69ff1330527481908d518093debc9ad1 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 9, 2026, 9:52 p.m.