Triple
T1061737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne County, Michigan |
E22921
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Westland, Michigan |
E92528
|
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: Westland, Michigan | Statement: [Wayne County, Michigan, contains, Westland, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westland, Michigan Context triple: [Wayne County, Michigan, contains, Westland, Michigan]
-
A.
Westland, Michigan
chosen
Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
-
B.
Mount Pleasant, Michigan
Mount Pleasant, Michigan is a small central Michigan city best known as the home of Central Michigan University and the Saginaw Chippewa Indian Tribe.
-
C.
Leland, Michigan
Leland, Michigan is a small historic village on the shores of Lake Michigan known for its picturesque harbor and preserved fishing district called Fishtown.
-
D.
Taylor, Michigan
Taylor, Michigan is a suburban city in Wayne County that forms part of the Downriver area of metropolitan Detroit.
-
E.
Muskegon, Michigan
Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f531f481909a40558811379992 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3a5cac081908d655e42a58a81c5 |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 7:42 p.m.