Triple

T18589066
Position Surface form Disambiguated ID Type / Status
Subject Walther P38-style pistol (G1) E454310 entity
Predicate hasAccessoryCompatibility P34359 FINISHED
Object Megatron (G1) stock LITERAL 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: Megatron (G1) stock | Statement: [Walther P38-style pistol (G1), hasAccessoryCompatibility, Megatron (G1) stock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAccessoryCompatibility
Context triple: [Walther P38-style pistol (G1), hasAccessoryCompatibility, Megatron (G1) stock]
  • A. hasAccessoryType
    Indicates that an entity is associated with or characterized by a particular type or category of accessory.
  • B. hasHardwareCompatibilityWith chosen
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • C. hasAccessoryEcosystem
    Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
  • D. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • E. mechanicalCompatibility
    Indicates that two entities can function together properly from a mechanical standpoint, without interference, damage, or performance issues.
  • F. None of above.

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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b3e564819088e60fc25d1976f0 completed April 19, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e478c98d4c81909d37a0e72c6e7bd0 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:44 a.m.