Triple

T21538977
Position Surface form Disambiguated ID Type / Status
Subject Banknock E531426 entity
Predicate hasPostcodeArea P920 FINISHED
Object FK 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: FK | Statement: [Banknock, hasPostcodeArea, FK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FK
Context triple: [Banknock, hasPostcodeArea, FK]
  • A. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • B. FK chosen
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • C. FK
    FK is the common abbreviation for the Swedish Social Insurance Agency, the government body responsible for administering social security benefits in Sweden.
  • D. FKi
    FKi is an Atlanta-based production duo known for their trap-influenced hip-hop beats and collaborations with prominent rap artists.
  • E. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d10a2888190bc4e502a829c76a4 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.