Triple
T250334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 201 in Skowhegan, Maine |
E5129
|
entity |
| Predicate | town |
P3385
|
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: [U.S. Route 201 in Skowhegan, Maine, town, Skowhegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skowhegan Context triple: [U.S. Route 201 in Skowhegan, Maine, town, 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.
Fort Kent, Maine
Fort Kent, Maine is a small town in northern Aroostook County known for its location at the Canadian border and as a gateway to the North Maine Woods.
-
C.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
D.
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.
-
E.
Bethel, Maine
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.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b46e24888190b400bf5ee8028e7c |
completed | March 1, 2026, 3:37 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.