Triple
T10705966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 139 |
E252404
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Winterport, Maine |
E598681
|
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: Winterport, Maine | Statement: [Maine State Route 139, passesThrough, Winterport, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winterport, Maine Context triple: [Maine State Route 139, passesThrough, Winterport, Maine]
-
A.
Winterport, Maine
chosen
Winterport, Maine is a small town in Waldo County known for its rural character and location along the Penobscot River in eastern Maine.
-
B.
Waterville, Maine
Waterville, Maine is a small city in central Maine known for hosting Colby College and its historic mill and riverfront downtown along the Kennebec River.
-
C.
Rockport, Maine
Rockport, Maine is a coastal town in Knox County known for its picturesque harbor, maritime heritage, and vibrant arts community.
-
D.
Porter, Maine
Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
-
E.
Searsmont, Maine
Searsmont, Maine is a small rural town in Waldo County known for its forests, lakes, and traditional New England character.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddfbed48190810bb3faee473fde |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b2fc8f88190b9bd2887149e3d68 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 8, 2026, 9:12 p.m.