Triple

T8996352
Position Surface form Disambiguated ID Type / Status
Subject Offenbach am Main E214922 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OF E513678 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: OF | Statement: [Offenbach am Main, vehicleRegistrationCode, OF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OF
Context triple: [Offenbach am Main, vehicleRegistrationCode, 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. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • E. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.