Triple
T3529086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Searsport, Maine
Searsport, Maine is a small coastal town in New England known for its historic deep-water port and maritime heritage.
|
E849128
|
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: Searsport, Maine | Statement: [Waldo County, Maine, hasTown, Searsport, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Searsport, Maine Context triple: [Waldo County, Maine, hasTown, Searsport, Maine]
-
A.
Kittery, Maine
Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
-
B.
Rockport, Maine
Rockport, Maine is a coastal town in Knox County known for its picturesque harbor, maritime heritage, and vibrant arts community.
-
C.
Collinsport, Maine
Collinsport, Maine is a fictional, fog-shrouded coastal town known as the eerie, gothic setting of the Dark Shadows franchise.
-
D.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
E.
Yarmouth, Maine
Yarmouth, Maine is a coastal New England town north of Portland known for its historic village center, annual Clam Festival, and scenic location along the Royal River.
- 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: Searsport, Maine Triple: [Waldo County, Maine, hasTown, Searsport, Maine]
Generated description
Searsport, Maine is a small coastal town in New England known for its historic deep-water port and maritime heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Searsport, Maine Target entity description: Searsport, Maine is a small coastal town in New England known for its historic deep-water port and maritime heritage.
-
A.
Kittery, Maine
Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
-
B.
Rockport, Maine
Rockport, Maine is a coastal town in Knox County known for its picturesque harbor, maritime heritage, and vibrant arts community.
-
C.
Collinsport, Maine
Collinsport, Maine is a fictional, fog-shrouded coastal town known as the eerie, gothic setting of the Dark Shadows franchise.
-
D.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
E.
Yarmouth, Maine
Yarmouth, Maine is a coastal New England town north of Portland known for its historic village center, annual Clam Festival, and scenic location along the Royal River.
- 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_69d5b790737c8190930dc863ffe95035 |
completed | April 8, 2026, 2:04 a.m. |
| NEDg | Description generation | batch_69d5bbfd698081909a9fccc16508917d |
completed | April 8, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d5bcde232081909b2389d8b16e1733 |
completed | April 8, 2026, 2:26 a.m. |
Created at: March 8, 2026, 3:19 p.m.