Triple
T14970123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasanoa River |
E373293
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Bath, Maine |
—
|
NE NERFINISHED |
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: Bath, Maine | Statement: [Sasanoa River, nearCity, Bath, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bath, Maine Context triple: [Sasanoa River, nearCity, Bath, Maine]
-
A.
Bath, Maine
chosen
Bath, Maine is a small coastal city on the Kennebec River known for its historic shipbuilding industry and home to the major naval shipyard Bath Iron Works.
-
B.
West Bath, Maine
West Bath, Maine is a small coastal town in Sagadahoc County known for its rural character and proximity to the Kennebec River and Midcoast region.
-
C.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
D.
Blaine, Maine
Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
-
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 (2 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:49 a.m.