Triple
T10850057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadillac, Michigan |
E256120
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Lake Mitchell |
E866680
|
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: Lake Mitchell | Statement: [Cadillac, Michigan, hasBodyOfWater, Lake Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Mitchell Context triple: [Cadillac, Michigan, hasBodyOfWater, Lake Mitchell]
-
A.
Lake Mitchell
chosen
Lake Mitchell is a popular recreational lake in Wexford County, Michigan, known for boating, fishing, and its connection to nearby Lake Cadillac.
-
B.
White Lake
White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
-
C.
White Lake
White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
-
D.
White Lake
White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
-
E.
Torch Lake
Torch Lake is a renowned, crystal-clear freshwater lake in northern Michigan known for its striking turquoise waters and recreational boating and fishing.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75115e4a88190b77be46b63db0c84 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6554d0b0081909cc031ff06b796c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:20 p.m.