Triple
T2491680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolwich, Maine |
E52055
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Dresden, Maine
Dresden, Maine is a small rural town in Lincoln County known for its historic character and scenic location along the Kennebec River.
|
E689727
|
NE FINISHED |
How this triple was built (4 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: Dresden, Maine | Statement: [Woolwich, Maine, borderedBy, Dresden, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dresden, Maine Context triple: [Woolwich, Maine, borderedBy, Dresden, Maine]
-
A.
Belgrade, Maine
Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
-
B.
Trenton, Maine
Trenton, Maine is a small coastal town in Hancock County that serves as a gateway to Mount Desert Island and Acadia National Park.
-
C.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
-
D.
Rome, Maine
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
-
E.
Oakland, Maine
Oakland, Maine is a small town in central Maine known for its lakeside setting, residential character, and proximity to the city of Waterville.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dresden, Maine Triple: [Woolwich, Maine, borderedBy, Dresden, Maine]
Generated description
Dresden, Maine is a small rural town in Lincoln County known for its historic character and scenic location along the Kennebec River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dresden, Maine Target entity description: Dresden, Maine is a small rural town in Lincoln County known for its historic character and scenic location along the Kennebec River.
-
A.
Belgrade, Maine
Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
-
B.
Trenton, Maine
Trenton, Maine is a small coastal town in Hancock County that serves as a gateway to Mount Desert Island and Acadia National Park.
-
C.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
-
D.
Rome, Maine
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
-
E.
Oakland, Maine
Oakland, Maine is a small town in central Maine known for its lakeside setting, residential character, and proximity to the city of Waterville.
- F. None of above. chosen
Provenance (5 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1914ca48190ab0a6cc5f1bd2f56 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9061044ac8190b204f5002955df72 |
completed | March 29, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c90933c6f081909b7bf058096356f7 |
completed | March 29, 2026, 11:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c909a10c1c8190995e9e60c9bd62e1 |
completed | March 29, 2026, 11:14 a.m. |
Created at: March 6, 2026, 9:45 p.m.