Triple

T13379261
Position Surface form Disambiguated ID Type / Status
Subject Magav E319271 entity
Predicate hasUnit P35 FINISHED
Object K-9 units E20999 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 units | Statement: [Magav, hasUnit, K-9 units]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-9 units
Context triple: [Magav, hasUnit, K-9 units]
  • A. K-9 Unit chosen
    The K-9 Unit is a specialized police division that uses trained dogs to assist officers in tasks such as tracking suspects, detecting drugs or explosives, and conducting search and rescue operations.
  • B. 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.
  • C. K-9
    K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
  • D. Riot Police Unit
    The Riot Police Unit is a specialized division of the Tokyo Metropolitan Police Department trained and equipped to handle large-scale public disturbances, protests, and emergency situations.
  • E. Bijstandseenheid Marechaussee
    Bijstandseenheid Marechaussee is a specialized support unit of the Royal Netherlands Marechaussee that provides rapid assistance and reinforcement in security, policing, and military police operations.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726893a8c8190b26b5f7c7fb96f1f completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.