Triple
T11026325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 142 |
E260630
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Kingfield, 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: Kingfield, Maine | Statement: [Maine State Route 142, passesThrough, Kingfield, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingfield, Maine Context triple: [Maine State Route 142, passesThrough, Kingfield, Maine]
-
A.
Kingfield, Maine
chosen
Kingfield, Maine is a small town in western Maine known as a gateway to the Sugarloaf ski area and the scenic Carrabassett Valley.
-
B.
Oakfield, Maine
Oakfield, Maine is a small rural town located in Aroostook County in northern Maine, known for its forested landscape and outdoor recreation.
-
C.
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.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
Newfield, Maine
Newfield, Maine is a small rural town in southwestern Maine known for its forests, lakes, and historic village character.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d0cd988190a7b21d7bdc3109ce |
completed | April 9, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:25 p.m.