Triple

T23080978
Position Surface form Disambiguated ID Type / Status
Subject Bestum E575469 entity
Predicate hasNearbyNeighborhood P350 FINISHED
Object Hoff 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: Hoff | Statement: [Bestum, hasNearbyNeighborhood, Hoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoff
Context triple: [Bestum, hasNearbyNeighborhood, Hoff]
  • A. Hoff chosen
    Hoff is a residential neighborhood in Oslo, Norway, known for its mix of housing, local services, and proximity to major transport routes.
  • B. Hoff Beck
    Hoff Beck is a small stream in Cumbria, England, that serves as one of the tributaries feeding the River Eden.
  • C. Hoff the Record
    Hoff the Record is a British mockumentary-style comedy series in which David Hasselhoff plays a fictionalized version of himself navigating a chaotic career reboot in the UK.
  • D. Harkes
    Harkes is a surname most notably associated with John Harkes, a former American soccer player and captain of the U.S. national team.
  • E. The Hoff
    The Hoff is the nickname of David Hasselhoff, an American actor, singer, and television personality best known for his roles in "Knight Rider" and "Baywatch."
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.