Triple
T33087807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karijoki |
E846688
|
entity |
| Predicate | partOfCountryRegionType |
P201197
|
FINISHED |
| Object | rural Finland |
—
|
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: rural Finland | Statement: [Karijoki, partOfCountryRegionType, rural Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCountryRegionType Context triple: [Karijoki, partOfCountryRegionType, rural Finland]
-
A.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
B.
countryOrRegion
Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
-
C.
politicalRegionType
Indicates the classification of a political region according to its governmental or administrative type (e.g., state, province, municipality).
-
D.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
E.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
- F. None of above. chosen
Provenance (4 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
| PDg | Predicate description generation | batch_69ffde916fcc81908d6e1b4e6d3f761c |
completed | May 10, 2026, 1:25 a.m. |
Created at: May 1, 2026, 1:26 a.m.