Triple
T3529069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Belfast, Maine |
E848765
|
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: Belfast, Maine | Statement: [Waldo County, Maine, hasCity, Belfast, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belfast, Maine Context triple: [Waldo County, Maine, hasCity, Belfast, Maine]
-
A.
Belfast, Maine
chosen
Belfast, Maine is a small coastal city in the Midcoast region known for its historic downtown, arts community, and harbor on Penobscot Bay.
-
B.
Manchester, Maine
Manchester, Maine is a small town in central Maine known for its rural character and proximity to the state capital, Augusta.
-
C.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
D.
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.
-
E.
Baldwin, Maine
Baldwin, Maine is a small rural town in Cumberland County known for its scenic landscapes and proximity to the western Maine mountains.
- 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_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_69d4d6c6d50c8190976d808e66d06d0f |
completed | April 7, 2026, 10:04 a.m. |
Created at: March 8, 2026, 3:19 p.m.