Triple
T2709890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesterville, Maine |
E59832
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Vienna, Maine
Vienna, Maine is a small rural town in Kennebec County known for its forests, lakes, and quiet New England character.
|
E426941
|
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: Vienna, Maine | Statement: [Chesterville, Maine, adjacentTo, Vienna, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna, Maine Context triple: [Chesterville, Maine, adjacentTo, Vienna, 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.
Stockholm, Maine
Stockholm, Maine is a small rural town in northern Maine known for its Swedish heritage and location within Aroostook County.
-
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.
Westfield, Maine
Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
-
E.
Wilton, Maine
Wilton, Maine is a small New England town known for its scenic lakes, outdoor recreation, and historic mill heritage.
- 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: Vienna, Maine Triple: [Chesterville, Maine, adjacentTo, Vienna, Maine]
Generated description
Vienna, Maine is a small rural town in Kennebec County known for its forests, lakes, and quiet New England character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vienna, Maine Target entity description: Vienna, Maine is a small rural town in Kennebec County known for its forests, lakes, and quiet New England character.
-
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.
Stockholm, Maine
Stockholm, Maine is a small rural town in northern Maine known for its Swedish heritage and location within Aroostook County.
-
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.
Westfield, Maine
Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
-
E.
Wilton, Maine
Wilton, Maine is a small New England town known for its scenic lakes, outdoor recreation, and historic mill heritage.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b729cc34819093ebf3fac53d7a9d |
completed | March 14, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69b5bb3af33081909f25c324b475e5f7 |
completed | March 14, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bba8d54081909feb5ebc5bace2d1 |
completed | March 14, 2026, 7:48 p.m. |
Created at: March 6, 2026, 9:55 p.m.