Triple
T10831558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souadabscook Stream |
E255630
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Newburgh, Maine |
E102739
|
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: Newburgh, Maine | Statement: [Souadabscook Stream, flowsThrough, Newburgh, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newburgh, Maine Context triple: [Souadabscook Stream, flowsThrough, Newburgh, Maine]
-
A.
Newburgh, Maine
chosen
Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
-
B.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
C.
Frankfort, Maine
Frankfort, Maine is a small rural town in Waldo County known for its scenic setting along the Penobscot River and its historic New England character.
-
D.
Bradford, Maine
Bradford, Maine is a small rural town in central Maine known for its quiet, forested landscape and traditional New England character.
-
E.
Mapleton, Maine
Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d744222288819093258b452569acab |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01792dc0b08190a0871959ce752313 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 8, 2026, 9:19 p.m.