Triple
T14951668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjaler |
E372807
|
entity |
| Predicate | municipalCodeSystem |
P116809
|
FINISHED |
| Object | Norwegian municipal number system |
—
|
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: Norwegian municipal number system | Statement: [Fjaler, municipalCodeSystem, Norwegian municipal number system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalCodeSystem Context triple: [Fjaler, municipalCodeSystem, Norwegian municipal number system]
-
A.
hasMunicipalityCode
Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
-
B.
municipalKey
Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
-
C.
hasMunicipalDistrictNumber
Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
-
D.
hasLocalGovernmentCode
Indicates that an entity is associated with a specific code assigned by a local government authority for identification or administrative purposes.
-
E.
districtCode
Indicates that an entity is associated with, or identified by, a specific administrative district code.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:39 a.m.