Triple
T1812973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 3 |
E40369
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Belgrade, Maine |
E403110
|
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: Belgrade, Maine | Statement: [Maine State Route 3, passesThrough, Belgrade, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgrade, Maine Context triple: [Maine State Route 3, passesThrough, Belgrade, Maine]
-
A.
Belgrade, Maine
chosen
Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
-
B.
Oakland, Maine
Oakland, Maine is a small town in central Maine known for its lakeside setting, residential character, and proximity to the city of Waterville.
-
C.
Westfield, Maine
Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
-
D.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
-
E.
Madison, Maine
Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c775408190b4f5912786720e28 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0a5d4908190bb817c48cb485088 |
completed | March 21, 2026, 2:52 p.m. |
Created at: March 4, 2026, 7:32 p.m.