Triple

T790177
Position Surface form Disambiguated ID Type / Status
Subject Falkland Islands E16894 entity
Predicate internetTLD P248 FINISHED
Object .fk E94003 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: .fk | Statement: [Falkland Islands, internetTLD, .fk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: .fk
Context triple: [Falkland Islands, internetTLD, .fk]
  • A. FK chosen
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • B.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. 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.
  • 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. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:38 p.m.