Triple

T21485349
Position Surface form Disambiguated ID Type / Status
Subject German federalism E530101 entity
Predicate policeOrganizationLevel P105319 FINISHED
Object Länder NE NERFINISHED

How this triple was built (3 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: Länder | Statement: [German federalism, policeOrganizationLevel, Länder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Länder
Context triple: [German federalism, policeOrganizationLevel, Länder]
  • A. Länder chosen
    Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
  • B. Negara
    Negara is a town in western Bali, Indonesia, known as an administrative and commercial center in the Jembrana Regency.
  • C. Landia
    Landia is a powerful, multi-headed dragon boss from the Kirby video game series, known for guarding the Master Crown and playing a key role in Kirby's Return to Dream Land.
  • D. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • E. Olmayan Ülke
    Olmayan Ülke, written by Turkish author Ahmet Ümit, is a literary work that blends elements of mystery and social commentary within a contemporary Turkish setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policeOrganizationLevel
Context triple: [German federalism, policeOrganizationLevel, Länder]
  • A. lawEnforcementLevel
    Indicates the degree or intensity of law enforcement presence, activity, or strictness applied in a given context.
  • B. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • C. policeRank
    Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
  • D. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • E. policeDepartmentType chosen
    Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea365a8481909635f614b23e751f completed April 23, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69e631ec1d048190b6da97da8222e413 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:21 p.m.