Triple
T3150884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orono, Maine |
E65873
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Glenburn, Maine |
E332471
|
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: Glenburn, Maine | Statement: [Orono, Maine, borders, Glenburn, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenburn, Maine Context triple: [Orono, Maine, borders, Glenburn, Maine]
-
A.
Glenburn, Maine
chosen
Glenburn, Maine is a small rural town in Penobscot County known for its residential character and proximity to the city of Bangor.
-
B.
Greenbush, Maine
Greenbush, Maine is a small rural town in Penobscot County known for its forested landscape and location along the Penobscot River in central Maine.
-
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.
Oakfield, Maine
Oakfield, Maine is a small rural town located in Aroostook County in northern Maine, known for its forested landscape and outdoor recreation.
-
E.
Mount Vernon, Maine
Mount Vernon, Maine is a small rural town in central Maine known for its lakes, forests, and outdoor recreation, located within Kennebec County.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c145248190843ff3b1701074a1 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28e228608190a531da6024803e1b |
completed | March 21, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:05 p.m.