Triple
T14428457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 193 |
E357756
|
entity |
| Predicate | terminusNorth |
P3375
|
FINISHED |
| Object | Beddington, Maine |
—
|
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: Beddington, Maine | Statement: [Maine State Route 193, terminusNorth, Beddington, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beddington, Maine Context triple: [Maine State Route 193, terminusNorth, Beddington, Maine]
-
A.
Beddington, Maine
chosen
Beddington, Maine is a small rural town in Washington County known for its remote forests, lakes, and low population in eastern Maine.
-
B.
Eddington, Maine
Eddington, Maine is a small town in Penobscot County known for its rural character and proximity to the Bangor metropolitan area.
-
C.
Embden, Maine
Embden, Maine is a small rural town in central Maine known for its scenic landscapes, outdoor recreation, and quiet lakeside and riverside settings.
-
D.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
E.
Brownfield, Maine
Brownfield, Maine is a small rural town in western Maine known for its scenic landscapes, outdoor recreation, and proximity to the White Mountains.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
Created at: April 10, 2026, 1:18 a.m.