Triple

T9149326
Position Surface form Disambiguated ID Type / Status
Subject KFC Uerdingen 05 E219540 entity
Predicate hasNickname P39 FINISHED
Object KFC E494738 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: KFC | Statement: [KFC Uerdingen 05, hasNickname, KFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KFC
Context triple: [KFC Uerdingen 05, hasNickname, KFC]
  • A. KFC chosen
    KFC is a Scottish professional football club based in Kilmarnock, known for competing in the Scottish football league system.
  • B. Kentucky Fried Chicken
    Kentucky Fried Chicken (KFC) is a global fast-food restaurant chain originating in the United States, best known for its fried chicken and distinctive blend of herbs and spices.
  • C. Chick-fil-A
    Chick-fil-A is a major American fast-food restaurant chain best known for its chicken sandwiches and strong presence in the Southern United States.
  • D. Burger King
    Burger King is a global fast-food restaurant chain known for flame-grilled burgers such as the Whopper.
  • E. Hardee
    Hardee is a surname most notably associated with William J. Hardee, a 19th-century United States Army officer and Confederate general during the American Civil War.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96908d88190a1d12517f6d1aece completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0483cdd048190904260c44a5810cf completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.