Triple

T18592402
Position Surface form Disambiguated ID Type / Status
Subject Höchstadt an der Aisch E454401 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ERH 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: ERH | Statement: [Höchstadt an der Aisch, vehicleRegistrationCode, ERH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERH
Context triple: [Höchstadt an der Aisch, vehicleRegistrationCode, ERH]
  • A. ERH chosen
    ERH is the vehicle registration code used on license plates for the Erlangen-Höchstadt district in Bavaria, Germany.
  • B. EHRD
    EHRD is the ICAO airport code for Rotterdam The Hague Airport in the Netherlands.
  • C. ERU
    ERU is the standard unit used to quantify emissions reductions achieved through Joint Implementation projects under the Kyoto Protocol.
  • D. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • E. ERI
    ERI is the IATA airport code for Erie International Airport, a commercial airport serving Erie, Pennsylvania.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.