Triple
T356934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor metropolitan area |
E7564
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hermon, Maine |
E18194
|
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: Hermon, Maine | Statement: [Bangor metropolitan area, contains, Hermon, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermon, Maine Context triple: [Bangor metropolitan area, contains, Hermon, Maine]
-
A.
Hermon, Maine
chosen
Hermon, Maine is a small town in Penobscot County known as a suburban community of Bangor with a mix of rural character and growing residential development.
-
B.
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.
-
C.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
D.
Rangeley, Maine
Rangeley, Maine is a small resort town in western Maine known for its lakes, outdoor recreation, and scenic mountain surroundings.
-
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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebaf0c9881909313f98818e7fa58 |
completed | Feb. 28, 2026, 1:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c029f10c8190a755e230528f3b7b |
completed | March 1, 2026, 10:39 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.