Triple
T13643066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford County |
E326033
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Mason Township, Maine |
E116369
|
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: Mason Township, Maine | Statement: [Oxford County, containsSettlement, Mason Township, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason Township, Maine Context triple: [Oxford County, containsSettlement, Mason Township, Maine]
-
A.
Mason Township, Maine
chosen
Mason Township, Maine is an unorganized territory in Oxford County known for its rural, forested landscape in western Maine near the New Hampshire border.
-
B.
Milton Township, Maine
Milton Township, Maine is an unorganized township and rural community located in Oxford County in the western part of the state.
-
C.
Montville, Maine
Montville, Maine is a small rural town in central Maine known for its forests, farms, and quiet, scenic countryside.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
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.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5ac2af88190976abe6606994eef |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943306f08190b3a4c44e5b22db0a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:51 p.m.