Triple
T22612787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Route 30 |
E566756
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Rutland Town, 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 Town, Vermont | Statement: [Vermont Route 30, passesThrough, Rutland Town, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutland Town, Vermont Context triple: [Vermont Route 30, passesThrough, Rutland Town, 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.
West Rutland
West Rutland is a small town in western Vermont known historically for its marble quarries and rural New England character.
-
C.
Townshend, Vermont
Townshend, Vermont is a small rural town in southeastern Vermont known for its scenic Green Mountain setting and traditional New England character.
-
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.
Royalton, Vermont
Royalton, Vermont is a small New England town in central Vermont known for its rural landscape and as the home of Vermont Law and Graduate School.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ec03c48190b55394b7296f48e5 |
completed | April 29, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4dfd45c4819099a637f7a4a39dea |
completed | May 18, 2026, 5:35 p.m. |
Created at: April 17, 2026, 2:57 p.m.