Triple
T320421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford County, Maine |
E6401
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Bethel, Maine |
E13452
|
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: Bethel, Maine | Statement: [Oxford County, Maine, containsSettlement, Bethel, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel, Maine Context triple: [Oxford County, Maine, containsSettlement, Bethel, Maine]
-
A.
Bethel, Maine
chosen
Bethel, Maine is a small town in western Maine known for its outdoor recreation, proximity to the White Mountains, and role as a gateway to nearby ski areas like Sunday River.
-
B.
Bangor, Maine
Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
-
C.
Farmington, Maine
Farmington, Maine is a small town in western Maine that serves as the service and cultural center of Franklin County and is home to the University of Maine at Farmington.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Rumford, Maine
Rumford, Maine is a small mill town in western Maine known for its paper industry heritage and proximity to outdoor recreation in the surrounding mountains and rivers.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3faf81e108190b85040e8de93bfcb |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.