Triple
T3376937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Hills region |
E71086
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Buckfield, Maine |
E208646
|
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: Buckfield, Maine | Statement: [Oxford Hills region, hasTown, Buckfield, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buckfield, Maine Context triple: [Oxford Hills region, hasTown, Buckfield, Maine]
-
A.
Buckfield, Maine
chosen
Buckfield, Maine is a small rural town in western Maine known for its historic village center and location within Androscoggin County.
-
B.
Dixfield, Maine
Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
-
C.
Greenfield, Maine
Greenfield, Maine is a small rural town located in Penobscot County in the central part of the state.
-
D.
Hallowell, Maine
Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
-
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 (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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05422b25c819098189ac202c20123 |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 8, 2026, 3:13 p.m.