Triple
T16839075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provincial Marine |
E409357
|
entity |
| Predicate | notableBase |
P7127
|
FINISHED |
| Object | Amherstburg |
E511008
|
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: Amherstburg | Statement: [Provincial Marine, notableBase, Amherstburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amherstburg Context triple: [Provincial Marine, notableBase, Amherstburg]
-
A.
Port Huron
Port Huron is a city in eastern Michigan located at the southern end of Lake Huron, known as a key Great Lakes port and border crossing to Canada.
-
B.
Town of Amherstburg
chosen
The Town of Amherstburg is a historic community in southwestern Ontario, Canada, known for its waterfront location on the Detroit River and its role in the War of 1812 and the Underground Railroad.
-
C.
Saginaw
Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
-
D.
Saginaw
Saginaw is a residential suburb located within the greater Dallas urban area.
-
E.
Alpena
Alpena is a small city in northeastern Michigan known for its Lake Huron shoreline, maritime history, and access to 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34f902c8190a334ba7caa04ce7e |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb177e288190b525e6d239892d26 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.