Triple

T20132749
Position Surface form Disambiguated ID Type / Status
Subject Jüterbog E490937 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object TF NE NERFINISHED

How this triple was built (3 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: TF | Statement: [Jüterbog, vehicleRegistrationCode, TF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TF
Context triple: [Jüterbog, vehicleRegistrationCode, TF]
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. TF
    TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
  • D. TF
    TF is the IATA airline designator assigned to Braathens Regional Airlines, a Swedish regional carrier.
  • E. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TF
Target entity description: TF is the vehicle registration code used on license plates for the district of Teltow-Fläming in the German state of Brandenburg.
  • A. TF
    TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
  • B. TF
    TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • C. TF
    TF is the abbreviation for the Faculty of Engineering at the University of Freiburg, a German institution focused on engineering and technology education and research.
  • D. TF
    TF is the IATA airline designator assigned to Braathens Regional Airlines, a Swedish regional carrier.
  • E. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • F. None of above. chosen

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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.