Triple

T19839702
Position Surface form Disambiguated ID Type / Status
Subject Fu E476693 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Fuh 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: Fuh | Statement: [Fu, hasVariantTransliteration, Fuh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuh
Context triple: [Fu, hasVariantTransliteration, Fuh]
  • A.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. Fu chosen
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • C. Fou
    Fou is a small, mysterious, animal-like familiar in the Fate/Grand Order series, known for its cute appearance, limited speech, and hidden connection to powerful magical origins.
  • D. Fuhne
    The Fuhne is a river in the German state of Saxony-Anhalt that flows through the Anhalt-Bitterfeld district before joining the Saale.
  • E. F.U.
    F.U. is the infamous initials-based nickname of Francis Urquhart, the ruthless and manipulative Conservative politician at the center of the British political drama "House of Cards."
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.