Triple
T2330698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomaston, Maine |
E44194
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Cushing, Maine
Cushing, Maine is a small coastal town in Knox County known for its scenic waterfront, rural character, and association with American realist painter Andrew Wyeth.
|
E610848
|
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: Cushing, Maine | Statement: [Thomaston, Maine, adjacentTo, Cushing, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cushing, Maine Context triple: [Thomaston, Maine, adjacentTo, Cushing, Maine]
-
A.
Howland, Maine
Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
-
B.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
C.
Chapman, Maine
Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
Winslow, Maine
Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
- 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: Cushing, Maine Triple: [Thomaston, Maine, adjacentTo, Cushing, Maine]
Generated description
Cushing, Maine is a small coastal town in Knox County known for its scenic waterfront, rural character, and association with American realist painter Andrew Wyeth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cushing, Maine Target entity description: Cushing, Maine is a small coastal town in Knox County known for its scenic waterfront, rural character, and association with American realist painter Andrew Wyeth.
-
A.
Howland, Maine
Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
-
B.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
C.
Chapman, Maine
Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
Winslow, Maine
Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc669956881908b8d9784d6a06acf |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f77397f48190aeeef1b389e7f2df |
completed | March 27, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 4, 2026, 7:51 p.m.