Triple
T6897559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killington Peak |
E159408
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rutland, Vermont |
E163469
|
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: Rutland, Vermont | Statement: [Killington Peak, near, Rutland, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutland, Vermont Context triple: [Killington Peak, near, Rutland, Vermont]
-
A.
Rutland, Vermont
chosen
Rutland, Vermont is a small city in central Vermont known as a regional commercial hub and gateway to nearby Green Mountain ski areas and outdoor recreation.
-
B.
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.
-
C.
St. George, Vermont
St. George, Vermont is a small town in northwestern Vermont known for being the least populous town in Chittenden County.
-
D.
Rupert, Vermont
Rupert, Vermont is a small rural town in southwestern Vermont known for its scenic Green Mountain setting and historic New England character.
-
E.
Middlesex, Vermont
Middlesex, Vermont is a small rural town in central Vermont known for its scenic landscape, outdoor recreation, and proximity to the state capital, Montpelier.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748e5182c81908ed01d1091933d09 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.