Triple

T22067172
Position Surface form Disambiguated ID Type / Status
Subject Nastätten E545303 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object DIZ E1250464 NE 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: DIZ | Statement: [Nastätten, hasVehicleRegistrationCode, DIZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIZ
Context triple: [Nastätten, hasVehicleRegistrationCode, DIZ]
  • A. DIZ chosen
    DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
  • B. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • C. Dizy
    Dizy is a small municipality in the canton of Vaud in western Switzerland.
  • D. Dizzi
    Dizzi is an alternate spelling of "Dizi," a term most commonly referring to the traditional Chinese transverse bamboo flute.
  • E. Dz
    Dz is the official station code used to identify Delfzijl railway station in the Netherlands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12884937c819095d3af69123fa2cb completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80af70208190b13181f4be83f876 completed May 18, 2026, 2:59 a.m.
Created at: April 16, 2026, 8:27 p.m.