Triple
T3509190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington County, Maine |
E74153
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cherryfield, Maine
Cherryfield, Maine is a small town in Washington County known for its historic architecture and wild blueberry production.
|
E692951
|
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: Cherryfield, Maine | Statement: [Washington County, Maine, contains, Cherryfield, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherryfield, Maine Context triple: [Washington County, Maine, contains, Cherryfield, Maine]
-
A.
Chapman, Maine
Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
-
B.
Dixfield, Maine
Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
-
C.
Litchfield, Maine
Litchfield, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
D.
Buckfield, Maine
Buckfield, Maine is a small rural town in western Maine known for its historic village center and location within Androscoggin County.
-
E.
Chamberlain, Maine
Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
- 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: Cherryfield, Maine Triple: [Washington County, Maine, contains, Cherryfield, Maine]
Generated description
Cherryfield, Maine is a small town in Washington County known for its historic architecture and wild blueberry production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherryfield, Maine Target entity description: Cherryfield, Maine is a small town in Washington County known for its historic architecture and wild blueberry production.
-
A.
Chapman, Maine
Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
-
B.
Dixfield, Maine
Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
-
C.
Litchfield, Maine
Litchfield, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
D.
Buckfield, Maine
Buckfield, Maine is a small rural town in western Maine known for its historic village center and location within Androscoggin County.
-
E.
Chamberlain, Maine
Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5674c408190bdea241134fba474 |
completed | March 30, 2026, 10:12 p.m. |
| NEDg | Description generation | batch_69caf783b00481909aa22eb912b18247 |
completed | March 30, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69caf9f86d808190880f7bb2fc8d4fe3 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 8, 2026, 3:18 p.m.