Triple
T3529091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Unity, Maine
Unity, Maine is a small rural town in central Maine known for hosting Unity College and its strong agricultural and outdoor recreation traditions.
|
E365756
|
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: Unity, Maine | Statement: [Waldo County, Maine, hasTown, Unity, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unity, Maine Context triple: [Waldo County, Maine, hasTown, Unity, Maine]
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Solon, Maine
Solon, Maine is a small rural town in central Maine known for its scenic Kennebec River setting and outdoor recreation opportunities.
-
C.
Westbrook, Maine
Westbrook, Maine is a small city in Cumberland County, just west of Portland, known for its historic mill industry and growing residential and commercial development.
-
D.
Greene, Maine
Greene, Maine is a small rural town in Androscoggin County known for its quiet residential character and proximity to the Lewiston–Auburn area.
-
E.
Industry, Maine
Industry, Maine is a small rural town in Franklin County known for its scenic lakes, forests, and outdoor recreation.
- 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: Unity, Maine Triple: [Waldo County, Maine, hasTown, Unity, Maine]
Generated description
Unity, Maine is a small rural town in central Maine known for hosting Unity College and its strong agricultural and outdoor recreation traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unity, Maine Target entity description: Unity, Maine is a small rural town in central Maine known for hosting Unity College and its strong agricultural and outdoor recreation traditions.
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Solon, Maine
Solon, Maine is a small rural town in central Maine known for its scenic Kennebec River setting and outdoor recreation opportunities.
-
C.
Westbrook, Maine
Westbrook, Maine is a small city in Cumberland County, just west of Portland, known for its historic mill industry and growing residential and commercial development.
-
D.
Greene, Maine
Greene, Maine is a small rural town in Androscoggin County known for its quiet residential character and proximity to the Lewiston–Auburn area.
-
E.
Industry, Maine
Industry, Maine is a small rural town in Franklin County known for its scenic lakes, forests, and outdoor recreation.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6e9188819093480b39f263ce75 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e93c1988190a9ab7698bf63e8e6 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b380a6b6ec8190be0741cb9535b650 |
completed | March 13, 2026, 3:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3812927e48190a84f3c7fa55d070a |
completed | March 13, 2026, 3:14 a.m. |
Created at: March 8, 2026, 3:19 p.m.