Triple

T17818739
Position Surface form Disambiguated ID Type / Status
Subject Eilenburg E444915 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DZ 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: DZ | Statement: [Eilenburg, vehicleRegistrationCode, DZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DZ
Context triple: [Eilenburg, vehicleRegistrationCode, DZ]
  • A. DZ chosen
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • B. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • C. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • D. DIZ
    DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
  • E. DZA
    DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:15 a.m.