Triple

T20907392
Position Surface form Disambiguated ID Type / Status
Subject Neu-Isenburg E514837 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object OF 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: OF | Statement: [Neu-Isenburg, hasVehicleRegistrationCode, OF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OF
Context triple: [Neu-Isenburg, hasVehicleRegistrationCode, OF]
  • A. OF chosen
    OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
  • B. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • C. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • D. OFJ
    OFJ is the abbreviation for the Swiss Federal Office of Justice, the national authority responsible for key legal, judicial, and legislative matters in Switzerland.
  • E. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e900ee7881909ab1046b40dca486 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.