Triple
T21342373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Route 135 |
E526228
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Route 140 |
—
|
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: Route 140 | Statement: [Massachusetts Route 135, hasJunctionWith, Route 140]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 140 Context triple: [Massachusetts Route 135, hasJunctionWith, Route 140]
-
A.
Route 140
chosen
Route 140 is a state highway in Massachusetts that runs generally north–south, connecting several cities and towns between New Bedford and the Franklin area.
-
B.
Route 141
Route 141 is a primary thoroughfare serving the community of Hawthorne in Westchester County, New York.
-
C.
Route 145
Route 145 is a state highway in Maine that serves as a local connector route through Franklin County.
-
D.
Route 148
Route 148 is a provincial highway in Quebec, Canada, that runs along the north shore of the Ottawa River and serves as a major regional connector between several communities.
-
E.
Route 149
Route 149 is a state highway in Maine that serves as a regional connector between several small communities.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a850617081909bf5c1ecc84d55b1 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.