Triple

T17799759
Position Surface form Disambiguated ID Type / Status
Subject Merzig-Wadern district E444389 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MZG 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: MZG | Statement: [Merzig-Wadern district, vehicleRegistrationCode, MZG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MZG
Context triple: [Merzig-Wadern district, vehicleRegistrationCode, MZG]
  • A. MZG chosen
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • B. MZG
    MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
  • C. ZMG
    ZMG is the National Rail station code assigned to Monument station in Newcastle upon Tyne, England.
  • D. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • E. MZ
    MZ is the vehicle registration code for the Mainz region in Germany, which includes Ingelheim am Rhein.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487fe19dc8190b7e9dc96f39e0861 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.