Triple
T34272932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceola Township, Michigan |
E879369
|
entity |
| Predicate | hasSuburbanRuralCharacter |
P75009
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Oceola Township, Michigan, hasSuburbanRuralCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanRuralCharacter Context triple: [Oceola Township, Michigan, hasSuburbanRuralCharacter, true]
-
A.
hasSuburbanCharacter
Indicates that something possesses qualities or features typically associated with suburban areas, such as lower density, residential focus, and car-oriented development.
-
B.
semiRuralCharacter
chosen
Indicates that a place or area has characteristics intermediate between rural and urban, combining elements of both environments.
-
C.
hasRuralZoningCharacter
Indicates that a property or area possesses zoning attributes and regulations typical of rural land use.
-
D.
hasRuralLifestyle
Indicates that an entity lives in or regularly engages in a way of life characteristic of rural areas, such as farming, low population density, and countryside-oriented activities.
-
E.
hasRuralLandscapeType
Indicates that an entity is associated with or characterized by a specific type of rural landscape.
- F. None of above.
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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
Created at: May 1, 2026, 1:56 a.m.