Triple

T23977226
Position Surface form Disambiguated ID Type / Status
Subject Josef Terboven E604402 entity
Predicate countryOfOccupationAdministration P38493 FINISHED
Object Norway NE NERFINISHED

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: Norway | Statement: [Josef Terboven, countryOfOccupationAdministration, Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfOccupationAdministration
Context triple: [Josef Terboven, countryOfOccupationAdministration, Norway]
  • A. countryOfOffice chosen
    Indicates the country in which a person’s official position, role, or office is held or exercised.
  • B. countryAdministeredNowPartOf
    Indicates that a country currently administers a territory or region that is now considered part of another country.
  • C. administrativeTerritorialEntityOf
    Indicates that one entity serves as the administrative territorial unit or jurisdiction to which another entity belongs or is governed by.
  • D. countryGovernedOnBehalfOf
    Indicates that a country is administered or ruled by one party acting in the name or interest of another party.
  • E. isCentralAdministrativeBodyOf
    Indicates that one entity serves as the main governing or coordinating administrative authority for another entity or system.
  • 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_69e29543f40c819087700b7a272afb60 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d2bad6ec81908b5649223a72c2b9 completed April 29, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:26 p.m.