Triple

T16568153
Position Surface form Disambiguated ID Type / Status
Subject DEFA 30 mm cannon family E402515 entity
Predicate mountingPlatform P29518 FINISHED
Object Atlas Cheetah E801805 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: Atlas Cheetah | Statement: [DEFA 30 mm cannon family, mountingPlatform, Atlas Cheetah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas Cheetah
Context triple: [DEFA 30 mm cannon family, mountingPlatform, Atlas Cheetah]
  • A. Atlas Cheetah chosen
    The Atlas Cheetah is a South African modernized variant of the Dassault Mirage III fighter aircraft, upgraded with advanced avionics and improved combat capabilities.
  • B. Cheetah
    Cheetah is a classic DC Comics supervillain and archenemy of Wonder Woman, often depicted as a woman cursed or empowered with the speed, ferocity, and appearance of a cheetah.
  • C. Cheetah
    Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • D. Gepard
    The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
  • E. GAZelle
    GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee3dcbc819087ea66b262585232 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.