Triple

T10428234
Position Surface form Disambiguated ID Type / Status
Subject Nedre Eiker E245840 entity
Predicate usedMunicipalityNumber P83825 FINISHED
Object 0625 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: 0625 | Statement: [Nedre Eiker, usedMunicipalityNumber, 0625]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedMunicipalityNumber
Context triple: [Nedre Eiker, usedMunicipalityNumber, 0625]
  • A. hasNumberOfMunicipalities
    Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
  • B. hasMunicipalDistrictNumber
    Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
  • C. formerMunicipalityNumber chosen
    Indicates that an entity was previously assigned a specific official municipality identification number before administrative or territorial changes.
  • D. mainMunicipality
    Indicates that one municipality serves as the primary or central administrative municipality associated with another entity or area.
  • E. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:13 p.m.