Triple

T23048493
Position Surface form Disambiguated ID Type / Status
Subject Kali E573943 entity
Predicate isInSchengenAreaCountry P11465 FINISHED
Object true 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: true | Statement: [Kali, isInSchengenAreaCountry, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInSchengenAreaCountry
Context triple: [Kali, isInSchengenAreaCountry, true]
  • A. hasSchengenArea chosen
    Indicates that a place, country, or region is part of, or included within, the Schengen Area for border-free movement.
  • B. isSchengenExternalBorder
    Indicates that a given border segment functions as an external boundary between the Schengen Area and non-Schengen territories.
  • C. isInCountryISO
    Indicates that one entity is located within, or belongs to, the country identified by a specific ISO country code.
  • D. supportsSchengenFlights
    Indicates that an entity enables or accommodates flights operating within the Schengen Area.
  • E. existsInConstituentCountry
    Indicates that one entity is located within or is present in a country that is a constituent part of a larger sovereign state.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867a206c81909ff923cbf56f7787 completed April 29, 2026, 4:18 a.m.
PD Predicate disambiguation batch_69ef89d5f71881908b9f9d0c8aab278c completed April 27, 2026, 4:07 p.m.
Created at: April 17, 2026, 3:54 p.m.