Triple
T6897549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killington Peak |
E159408
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Killington, Vermont |
E327097
|
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: Killington, Vermont | Statement: [Killington Peak, locatedIn, Killington, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killington, Vermont Context triple: [Killington Peak, locatedIn, Killington, Vermont]
-
A.
Whitingham, Vermont
Whitingham, Vermont is a small rural town in southern Vermont known for its scenic landscapes and historic New England character.
-
B.
Marlboro, Vermont
Marlboro, Vermont is a small rural town in southern Vermont known for its scenic Green Mountain setting and its former Marlboro College campus.
-
C.
Killington Resort
chosen
Killington Resort is a major ski and snowboard destination in Vermont, known for its extensive trail network and long winter season.
-
D.
Woodstock, Vermont
Woodstock, Vermont is a historic New England town known for its picturesque village green, classic covered bridges, and well-preserved 19th-century architecture.
-
E.
Ripton, Vermont
Ripton, Vermont is a small rural town in central Vermont known for its scenic Green Mountain setting and outdoor recreation opportunities.
- 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.