Triple
T13022787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Route 67 |
E326218
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Mechanicville |
E97697
|
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: Mechanicville | Statement: [New York State Route 67, passesThrough, Mechanicville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mechanicville Context triple: [New York State Route 67, passesThrough, Mechanicville]
-
A.
Mechanicville, New York
chosen
Mechanicville, New York is a small city in Saratoga County historically known as a key railroad and industrial hub in upstate New York.
-
B.
Mechanicstown, New York
Mechanicstown, New York is a hamlet within the Town of Wallkill in Orange County, known primarily as a residential community in the Hudson Valley region.
-
C.
Pawlet
Pawlet is a small rural town in southwestern Vermont known for its scenic Green Mountain landscapes and historic village center.
-
D.
Suttontown
Suttontown is a rural locality in South Australia governed by the District Council of Grant.
-
E.
Munnsville
Munnsville is a small village located within Madison County in the state of New York, United States.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11c1f6c8190be1c570a7e44a313 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.