Triple

T35475001
Position Surface form Disambiguated ID Type / Status
Subject MI E1025306 entity
Predicate refersToAdministrativeSeat P40720 FINISHED
Object Minden 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: Minden | Statement: [MI, refersToAdministrativeSeat, Minden]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refersToAdministrativeSeat
Context triple: [MI, refersToAdministrativeSeat, Minden]
  • A. refersToGovernmentSeatOf chosen
    Indicates that one entity designates or points to the official seat or capital location of a government associated with another entity.
  • B. refersToAdministrativeEntity
    Indicates that one entity makes reference to, is associated with, or is under the jurisdiction of a specific administrative or governmental unit.
  • C. administrativeCentreType
    Indicates the specific kind or level of administrative center that a place serves as within an administrative hierarchy.
  • D. administrativeCentreLocatedOn
    Indicates that the administrative centre of a region or jurisdiction is situated on or directly adjacent to a specified geographic feature or location.
  • E. previousAdministrativeCentreOf
    Indicates that an entity once served as the administrative centre of another entity in the past, but no longer holds that role.
  • 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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe766490c081908c49c8cc07d0ae9b completed May 8, 2026, 11:48 p.m.
PD Predicate disambiguation batch_69fe75bb5f4481908572a5ffcbdc5154 completed May 8, 2026, 11:46 p.m.
Created at: May 3, 2026, 4:04 p.m.