Triple
T22306825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenduskeag Stream |
E551397
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Glenburn, 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: Glenburn, Maine | Statement: [Kenduskeag Stream, flowsThrough, Glenburn, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenburn, Maine Context triple: [Kenduskeag Stream, flowsThrough, 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.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
D.
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.
-
E.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574bccb08190a6236dd14cf0fc5b |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.