Triple

T17121812
Position Surface form Disambiguated ID Type / Status
Subject Von Maur E415484 entity
Predicate hasPredecessorOrganization P51081 FINISHED
Object J. H. C. Petersen department store business 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: J. H. C. Petersen department store business | Statement: [Von Maur, hasPredecessorOrganization, J. H. C. Petersen department store business]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPredecessorOrganization
Context triple: [Von Maur, hasPredecessorOrganization, J. H. C. Petersen department store business]
  • A. hasPredecessorAdministrativeEntity
    Indicates that one administrative entity directly preceded another in an official or organizational sequence.
  • B. organizationalPrecursorOf chosen
    Indicates that one organization functioned as a predecessor or antecedent to another organization in terms of structure, role, or continuity.
  • C. formerParentOrganization
    Indicates that one organization previously served as the parent organization of another, but no longer holds that status.
  • D. predecessorOrganizer
    Indicates that one organizer entity served in the organizing role before another organizer in a sequence of organizers.
  • E. formerOrganization
    Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69e35d6d20808190a38bb32e2294bc48 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:36 a.m.