Triple
T2943550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset County Courthouse |
E79443
|
entity |
| Predicate | addressLocality |
P7943
|
FINISHED |
| Object | Skowhegan |
E15921
|
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: Skowhegan | Statement: [Somerset County Courthouse, addressLocality, Skowhegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skowhegan Context triple: [Somerset County Courthouse, addressLocality, Skowhegan]
-
A.
Skowhegan, Maine
chosen
Skowhegan, Maine is a small town in central Maine known as the seat of Somerset County and for its historic downtown along the Kennebec River.
-
B.
Newburgh, Maine
Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
-
C.
Bingham, Maine
Bingham, Maine is a small rural town in central Maine known for its outdoor recreation opportunities along the Kennebec River.
-
D.
Kenduskeag, Maine
Kenduskeag, Maine is a small rural town in central Maine known for its quiet residential character and proximity to the Kenduskeag Stream.
-
E.
Hudson, Maine
Hudson, Maine is a small rural town located in Penobscot County in central Maine, known for its quiet, forested landscape and close-knit community.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b0db5081908e84def20a5e4a2d |
completed | March 8, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c988df1e4c8190a46c971a3f9b2d49 |
completed | March 29, 2026, 8:17 p.m. |
Created at: March 8, 2026, 2:56 p.m.