Triple
T6496190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick, Maine |
E148165
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Harpswell, Maine |
E354581
|
NE FINISHED |
How this triple was built (2 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: Harpswell, Maine | Statement: [Brunswick, Maine, adjacentTo, Harpswell, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harpswell, Maine Context triple: [Brunswick, Maine, adjacentTo, Harpswell, Maine]
-
A.
Harpswell, Maine
chosen
Harpswell, Maine is a coastal New England town known for its rugged shoreline, fishing heritage, and numerous islands and peninsulas along Casco Bay.
-
B.
Southwest Harbor, Maine
Southwest Harbor, Maine is a coastal town on Mount Desert Island known for its working waterfront, boatbuilding heritage, and proximity to Acadia National Park.
-
C.
Hollis, Maine
Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
-
D.
North Haven, Maine
North Haven, Maine is a small island town in Penobscot Bay known for its scenic coastal landscapes, fishing heritage, and seasonal tourism.
-
E.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06aba8f04819080b291baf79c42d5 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d046ccbe588190a0ba7f276d874825 |
completed | April 3, 2026, 11:01 p.m. |
Created at: March 22, 2026, 4:53 p.m.