Triple
T10899319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 302 |
E257395
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Berlin, Vermont |
E198555
|
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: Berlin, Vermont | Statement: [U.S. Route 302, passesThrough, Berlin, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin, Vermont Context triple: [U.S. Route 302, passesThrough, Berlin, Vermont]
-
A.
Berlin, Vermont
chosen
Berlin, Vermont is a small New England town in central Vermont known for its rural character and proximity to the state capital, Montpelier.
-
B.
Burlington, Vermont
Burlington, Vermont is the largest city in Vermont, known for its vibrant arts scene, waterfront on Lake Champlain, and home to the University of Vermont.
-
C.
Berlin, New Hampshire
Berlin, New Hampshire is a small industrial city in northern New Hampshire historically known for its paper mills and outdoor recreation along the Androscoggin River.
-
D.
Bennington, Vermont
Bennington, Vermont is a historic town in southwestern Vermont known for its role in the American Revolutionary War and its prominent Revolutionary War monument.
-
E.
Baltimore, Vermont
Baltimore, Vermont is a small rural town located in Windsor County in the southeastern part of the state.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2392c8190bc2c2359d63eff7a |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5099f57ac81909e7734b83ad96a40 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:21 p.m.