Triple
T434023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penobscot County, Maine |
E9773
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Lincoln, Maine
Lincoln, Maine is a small town in northeastern Maine known for its numerous lakes, outdoor recreation opportunities, and rural New England character.
|
E81808
|
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: Lincoln, Maine | Statement: [Penobscot County, Maine, hasTown, Lincoln, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln, Maine Context triple: [Penobscot County, Maine, hasTown, Lincoln, Maine]
-
A.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
B.
Orono, Maine
Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
-
C.
Harrison, Maine
Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
-
D.
Portland, Maine
Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
-
E.
Hampden, Maine
Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
- 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: Lincoln, Maine Triple: [Penobscot County, Maine, hasTown, Lincoln, Maine]
Generated description
Lincoln, Maine is a small town in northeastern Maine known for its numerous lakes, outdoor recreation opportunities, and rural New England character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lincoln, Maine Target entity description: Lincoln, Maine is a small town in northeastern Maine known for its numerous lakes, outdoor recreation opportunities, and rural New England character.
-
A.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
B.
Orono, Maine
Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
-
C.
Harrison, Maine
Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
-
D.
Portland, Maine
Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
-
E.
Hampden, Maine
Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef0a008c8190ae0aa25e4df9c35f |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5914232c481909a39cd3373e3c6c9 |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a5928fbf0c8190b7a76511be48c331 |
completed | March 2, 2026, 1:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a592eb19248190ada0809873de4779 |
completed | March 2, 2026, 1:38 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.