Triple

T26231035
Position Surface form Disambiguated ID Type / Status
Subject MD E656036 entity
Predicate identifiesRegistrationOffice P137074 FINISHED
Object Mödling registration office 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: Mödling registration office | Statement: [MD, identifiesRegistrationOffice, Mödling registration office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: identifiesRegistrationOffice
Context triple: [MD, identifiesRegistrationOffice, Mödling registration office]
  • A. identifiesRegistrationDistrict
    Indicates that one entity specifies or designates the registration district to which another entity belongs or is associated.
  • B. identifiesRegistrationLocation
    Indicates that an entity specifies the place or jurisdiction where a registration is or should be recorded.
  • C. officialRegisterOf
    Indicates that one entity serves as the authoritative, formally maintained record or registry for another entity.
  • D. hasBandOfficeOf
    Indicates that a specific band office serves as the administrative office for a particular band or band-related organization.
  • E. issuerOffice chosen
    Indicates the office or organizational unit that formally issues or authorizes something (such as a document, credential, or statement).
  • 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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b3a8ae0819090189fbd8eb19f2f completed May 2, 2026, 3:41 p.m.
Created at: April 26, 2026, 8:59 p.m.