Triple

T963654
Position Surface form Disambiguated ID Type / Status
Subject Büsingen am Hochrhein E20788 entity
Predicate usesSwissPostalSystem P7766 FINISHED
Object true 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: true | Statement: [Büsingen am Hochrhein, usesSwissPostalSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSwissPostalSystem
Context triple: [Büsingen am Hochrhein, usesSwissPostalSystem, true]
  • A. hasPostalSystem
    Indicates that an entity possesses or operates an organized system for sending, receiving, and delivering mail or parcels.
  • B. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • C. postalCodeSystem chosen
    Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
  • D. hasPostalCountryCode
    Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
  • E. hasPostalRole
    Indicates that an entity holds or is assigned a specific role or function within a postal or mail-related context.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b416cf4c8190bd685227db25fb53 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a2e23c8190b932fe88b02f995d completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.