Triple
T10705962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 139 |
E252404
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Unity, Maine |
E365756
|
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: Unity, Maine | Statement: [Maine State Route 139, passesThrough, Unity, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unity, Maine Context triple: [Maine State Route 139, passesThrough, Unity, Maine]
-
A.
Unity, Maine
chosen
Unity, Maine is a small rural town in central Maine known for hosting Unity College and its strong agricultural and outdoor recreation traditions.
-
B.
Union, Maine
Union, Maine is a small rural town in Knox County known for its scenic lakes, farms, and historic village center in midcoast Maine.
-
C.
Warren, Maine
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
-
D.
Gray, Maine
Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
-
E.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
- 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_69dbad1ac3948190a97ab52fa9d962ad |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:12 p.m.