Triple
T12271907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion Assembly |
E292490
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Orion |
E102322
|
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 Orion | Statement: [Orion Assembly, locatedNear, Lake Orion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Orion Context triple: [Orion Assembly, locatedNear, Lake Orion]
-
A.
Lake Orion, Michigan
chosen
Lake Orion, Michigan is a village in Oakland County known as a suburban Detroit community and home to a major General Motors assembly plant nearby.
-
B.
Houghton Lake
Houghton Lake is a large unincorporated community and popular recreational area in Michigan known for its namesake lake, one of the state's largest inland lakes.
-
C.
Lake Lansing
Lake Lansing is a popular recreational lake in Ingham County, Michigan, known for boating, fishing, and its surrounding park facilities.
-
D.
George Lake
George Lake is a scenic freshwater lake in Ontario, Canada, best known as a central feature and popular access point within Killarney Provincial Park.
-
E.
George Lake
George Lake is a scenic alpine lake in California’s Sierra Nevada, popular with hikers and backpackers for its clear waters and mountain surroundings.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 8, 2026, 9:52 p.m.