Triple
T59509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 2 in Maine |
E1179
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Newport, Maine
Newport, Maine is a small town in Penobscot County known as a regional service and transportation hub in central Maine.
|
E38851
|
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: Newport, Maine | Statement: [U.S. Route 2 in Maine, passesThrough, Newport, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newport, Maine Context triple: [U.S. Route 2 in Maine, passesThrough, Newport, Maine]
-
A.
Augusta, Maine
Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
-
B.
Provincetown
Provincetown is a historic coastal resort town at the tip of Cape Cod in Massachusetts, known for its vibrant arts scene, LGBTQ+ community, and scenic beaches.
-
C.
Bangor, Maine
Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
- 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: Newport, Maine Triple: [U.S. Route 2 in Maine, passesThrough, Newport, Maine]
Generated description
Newport, Maine is a small town in Penobscot County known as a regional service and transportation hub in central Maine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newport, Maine Target entity description: Newport, Maine is a small town in Penobscot County known as a regional service and transportation hub in central Maine.
-
A.
Augusta, Maine
Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
-
B.
Provincetown
Provincetown is a historic coastal resort town at the tip of Cape Cod in Massachusetts, known for its vibrant arts scene, LGBTQ+ community, and scenic beaches.
-
C.
Bangor, Maine
Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
- 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a24ec5f46081909f3ba0b25190282b |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab97ff188190b41423bc252137fa |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3ad480f588190a8901dffb7371e5e |
completed | March 1, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ad9f6b10819081274e51eac79b00 |
completed | March 1, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.