Triple

T10998940
Position Surface form Disambiguated ID Type / Status
Subject Laika E259955 entity
Predicate originalEnvironment P853 FINISHED
Object stray dog from Moscow streets 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: stray dog from Moscow streets | Statement: [Laika, originalEnvironment, stray dog from Moscow streets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalEnvironment
Context triple: [Laika, originalEnvironment, stray dog from Moscow streets]
  • A. classicEnvironmentSupport
    Indicates that an entity provides compatibility or support for operating in a legacy or traditional computing environment.
  • B. secondaryEnvironment
    Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
  • C. environmentType chosen
    Indicates the kind or category of environment associated with an entity or situation.
  • D. originalMode
    Indicates that something preserves, reflects, or is associated with its initial or default mode of operation or state.
  • E. originalFeature
    Indicates that one entity is the initial or source feature from which another feature is derived, modified, or referenced.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d3b08c81909376cd73c42fcefe completed April 9, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69d72e93ac648190b46c5d12bf3eb1e9 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.