Triple
T33679867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krødsherad parish |
E862864
|
entity |
| Predicate | isRuralParish |
P2460
|
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: [Krødsherad parish, isRuralParish, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralParish Context triple: [Krødsherad parish, isRuralParish, true]
-
A.
hasRuralParish
Indicates that an entity possesses or is associated with a rural parish as an administrative or ecclesiastical subdivision.
-
B.
isRural
chosen
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
-
C.
isRuralConstituency
Indicates that a given constituency is classified as rural rather than urban or suburban.
-
D.
isRuralCounty
Indicates that a given county is classified as rural rather than urban based on demographic, geographic, or administrative criteria.
-
E.
isRuralRegion
Indicates that a region is classified as rural, typically characterized by low population density and limited urban development.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa5e37a88190a43d9f5e6f5ea9f9 |
completed | May 3, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.