Triple

T34976037
Position Surface form Disambiguated ID Type / Status
Subject Krakozhian E1008678 entity
Predicate passportHolderInPlot P182467 FINISHED
Object Viktor Navorski NE NERFINISHED

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: Viktor Navorski | Statement: [Krakozhian, passportHolderInPlot, Viktor Navorski]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: passportHolderInPlot
Context triple: [Krakozhian, passportHolderInPlot, Viktor Navorski]
  • A. borderPass
    Indicates that one entity crosses or moves through the boundary separating two regions or jurisdictions.
  • B. canHoldPassport
    Indicates that an entity is legally eligible or permitted to possess a passport.
  • C. visaPolicyInstrument
    Indicates that a particular policy, rule, or legal instrument is used to define, regulate, or implement a visa policy between entities.
  • D. enteredCountryUsingFalsePassport
    Indicates that an individual crossed a country's border by presenting a passport that was forged, altered, or otherwise not legitimately theirs.
  • E. guardedPassage
    Indicates that access through a passage is controlled or protected by a guard or security presence.
  • F. None of above. chosen

Provenance (4 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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dbf72648190a4971a558e9d1889 completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
PDg Predicate description generation batch_69f78ce43094819093857fc99f269afe completed May 3, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:01 p.m.