Triple
T38403870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon’s Garden City |
E900969
|
entity |
| Predicate | appliedToGeographicArea |
P8773
|
FINISHED |
| Object | municipality |
—
|
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: municipality | Statement: [Oregon’s Garden City, appliedToGeographicArea, municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToGeographicArea Context triple: [Oregon’s Garden City, appliedToGeographicArea, municipality]
-
A.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
B.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
C.
geographicCoverageType
Indicates the type or nature of the geographic area that something covers or applies to.
-
D.
appliesToAdministrativeTerritory
chosen
Indicates that something (such as a rule, measure, or status) is valid for, relevant to, or in force within a specific administrative territory.
-
E.
geographicCriterion
Indicates that the relationship or selection is determined based on geographic factors, such as location, region, or spatial boundaries.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: May 3, 2026, 4:31 p.m.