Triple
T12374576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyman Dam |
E295088
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Bingham, 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: Bingham, Maine | Statement: [Wyman Dam, nearestCity, Bingham, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bingham, Maine Context triple: [Wyman Dam, nearestCity, Bingham, Maine]
-
A.
Bingham, Maine
chosen
Bingham, Maine is a small rural town in central Maine known for its outdoor recreation opportunities along the Kennebec River.
-
B.
Benton, Maine
Benton, Maine is a small rural town in central Maine known for its agricultural character and location along the Kennebec River.
-
C.
Thorndike, Maine
Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
-
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.
Van Buren, Maine
Van Buren, Maine is a small town in northern Maine along the Saint John River, directly across from New Brunswick, Canada, known for its French-Acadian heritage and rural 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.