Triple

T810889
Position Surface form Disambiguated ID Type / Status
Subject Middle Franconia E17540 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object E14681 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: FÜ | Statement: [Middle Franconia, hasVehicleRegistrationCode, FÜ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FÜ
Context triple: [Middle Franconia, hasVehicleRegistrationCode, FÜ]
  • A. chosen
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • C. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FFF
    FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.