Triple

T15035908
Position Surface form Disambiguated ID Type / Status
Subject Adric E378475 entity
Predicate associatedWith P37 FINISHED
Object K-9 Mark II E71121 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: K-9 Mark II | Statement: [Adric, associatedWith, K-9 Mark II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-9 Mark II
Context triple: [Adric, associatedWith, K-9 Mark II]
  • A. K9 Mark IV
    K9 Mark IV is a robotic dog companion from the Doctor Who universe, known for its advanced intelligence, loyalty, and futuristic technology.
  • B. K9 Vidar
    K9 Vidar is an upgraded variant of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced firepower, mobility, and modernized systems for improved battlefield performance.
  • C. K-9
    K-9 is a 1989 American buddy cop comedy film starring James Belushi as a detective partnered with a police dog to take down a drug dealer.
  • D. K-9 chosen
    K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
  • E. K9FIN Moukari
    K9FIN Moukari is a Finnish-modified version of the South Korean K9 Thunder self-propelled howitzer, tailored to meet Finland’s specific operational and environmental requirements.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddfc13481909333690016650410 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.