Triple
T8694168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Treasurer |
E206363
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Augusta, Maine |
E2670
|
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: Augusta, Maine | Statement: [Maine State Treasurer, workLocation, Augusta, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augusta, Maine Context triple: [Maine State Treasurer, workLocation, Augusta, Maine]
-
A.
Augusta, Maine
chosen
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.
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.
-
C.
Hartford, Maine
Hartford, Maine is a small rural town in Oxford County known for its forests, lakes, and quiet residential character in western Maine.
-
D.
Biddeford, Maine
Biddeford, Maine is a historic mill city in York County known for its revitalized downtown along the Saco River and its role as a regional economic and educational center.
-
E.
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.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58284c58819091beb05a7d6b3a1b |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb7875448190a2478cbb623c31e6 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:33 p.m.