Triple
T10347940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweden, Maine |
E243800
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Bridgton, Maine |
E50651
|
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: Bridgton, Maine | Statement: [Sweden, Maine, borders, Bridgton, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridgton, Maine Context triple: [Sweden, Maine, borders, Bridgton, Maine]
-
A.
Bridgton, Maine
chosen
Bridgton, Maine is a small resort and lake town in western Maine known for its outdoor recreation, historic downtown, and proximity to the Lakes Region and ski areas.
-
B.
Buxton, Maine
Buxton, Maine is a small New England town in York County known for its rural character and proximity to the Portland metropolitan area.
-
C.
Bridgewater, Maine
Bridgewater, Maine is a small rural town in northern Maine known for its agricultural landscape and location near the Canadian border.
-
D.
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.
-
E.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e945d51881908dd2af6c78344c9b |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de54d83e44819097abf6714bd48680 |
completed | April 14, 2026, 2:53 p.m. |
Created at: April 6, 2026, 11:56 a.m.