Triple
T15335471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Route 103 |
E366652
|
entity |
| Predicate | servesCommunity |
P82
|
FINISHED |
| Object | Ludlow, Vermont |
—
|
NE NERFINISHED |
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: Ludlow, Vermont | Statement: [Vermont Route 103, servesCommunity, Ludlow, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludlow, Vermont Context triple: [Vermont Route 103, servesCommunity, Ludlow, Vermont]
-
A.
Ludlow, Vermont
chosen
Ludlow, Vermont is a small town in Windsor County known as a popular year-round resort destination, largely due to the nearby Okemo Mountain ski area.
-
B.
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.
-
C.
Elmore, Vermont
Elmore, Vermont is a small rural town in northern Vermont known for its scenic Lake Elmore and Elmore State Park.
-
D.
Lyndon, Vermont
Lyndon, Vermont is a small New England town in northeastern Vermont known for its rural character and as the home of Northern Vermont University–Lyndon.
-
E.
Wheelock, Vermont
Wheelock, Vermont is a small rural town located in Caledonia County in the northeastern region of the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
Created at: April 10, 2026, 3:17 a.m.