Triple
T3529083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Palermo, Maine
Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
|
E849053
|
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: Palermo, Maine | Statement: [Waldo County, Maine, hasTown, Palermo, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palermo, Maine Context triple: [Waldo County, Maine, hasTown, Palermo, Maine]
-
A.
Naples, Maine
Naples, Maine is a small resort town in the Lakes Region of western Maine known for its waterfront recreation on Long Lake and Brandy Pond.
-
B.
Rome, Maine
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
-
C.
Plymouth, Maine
Plymouth, Maine is a small rural town in Penobscot County known for its quiet residential character and forested, lake-dotted landscape.
-
D.
Belfast, Maine
Belfast, Maine is a small coastal city in the Midcoast region known for its historic downtown, arts community, and harbor on Penobscot Bay.
-
E.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
- 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: Palermo, Maine Triple: [Waldo County, Maine, hasTown, Palermo, Maine]
Generated description
Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palermo, Maine Target entity description: Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
A.
Naples, Maine
Naples, Maine is a small resort town in the Lakes Region of western Maine known for its waterfront recreation on Long Lake and Brandy Pond.
-
B.
Rome, Maine
Rome, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character within Kennebec County.
-
C.
Plymouth, Maine
Plymouth, Maine is a small rural town in Penobscot County known for its quiet residential character and forested, lake-dotted landscape.
-
D.
Belfast, Maine
Belfast, Maine is a small coastal city in the Midcoast region known for its historic downtown, arts community, and harbor on Penobscot Bay.
-
E.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
- 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_69d58af368788190a4b020cc46cc30d5 |
completed | April 7, 2026, 10:53 p.m. |
| NEDg | Description generation | batch_69d58d72b5d88190989416f030cdde73 |
completed | April 7, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d58e0f929481908023a47e9188a35d |
completed | April 7, 2026, 11:06 p.m. |
Created at: March 8, 2026, 3:19 p.m.