Triple

T7975772
Position Surface form Disambiguated ID Type / Status
Subject Andernach E185441 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MYK E362923 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: MYK | Statement: [Andernach, vehicleRegistrationCode, MYK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MYK
Context triple: [Andernach, vehicleRegistrationCode, MYK]
  • A. MYK chosen
    MYK is the vehicle registration code for the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • B. MYAK
    MYAK is the ICAO airport code for Congo Town Airport in the Bahamas.
  • C. MKY
    MKY is the IATA airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
  • D. MY
    MY is the vehicle registration code used for cars registered in Mytilene, a city on the Greek island of Lesbos.
  • E. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0c39e248190a146c1f2fd815f26 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.