Triple

T28632524
Position Surface form Disambiguated ID Type / Status
Subject Welper E724681 entity
Predicate sharesPostalCodeWith P136734 FINISHED
Object Hattingen 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: Hattingen | Statement: [Welper, sharesPostalCodeWith, Hattingen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesPostalCodeWith
Context triple: [Welper, sharesPostalCodeWith, Hattingen]
  • A. sharesZIPCodeWith chosen
    Indicates that two entities are located in areas that have the same ZIP or postal code.
  • B. postalServiceSharedWith
    Indicates that two or more entities use or are served by the same postal service or postal delivery system.
  • C. hasPostalAssociationWith
    Indicates a relationship in which one entity is connected to another through postal services, such as mail handling, delivery, routing, or shared postal operations.
  • D. postalCode
    Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
  • E. postalArea
    Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
  • 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: April 28, 2026, 4:38 a.m.