Triple
T6727405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walpole Island |
E153550
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Algonac |
E664581
|
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: Algonac | Statement: [Walpole Island, locatedNear, Algonac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algonac Context triple: [Walpole Island, locatedNear, Algonac]
-
A.
Algonac, Michigan
chosen
Algonac, Michigan is a small waterfront city on the St. Clair River known for its boating heritage and role as a gateway to the St. Clair River delta.
-
B.
Lapeer
Lapeer is a small city in Michigan known as an administrative and commercial center for the surrounding rural region.
-
C.
Fennville
Fennville is a small city in southwestern Michigan known for its agricultural surroundings, wineries, and proximity to Lake Michigan.
-
D.
Utica, Michigan
Utica, Michigan is a small suburban city in Macomb County known for its historic downtown and location along the Clinton River within the Metro Detroit area.
-
E.
Frankfort, Michigan
Frankfort, Michigan is a small Lake Michigan shoreline city known for its harbor, beaches, and role as a regional tourism and fishing hub in northwestern Michigan.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d152a4908190a041f2049240e7ca |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1524be8c08190b4d979a677dc5958 |
completed | April 4, 2026, 6:02 p.m. |
Created at: March 27, 2026, 2:08 p.m.