Triple

T35045566
Position Surface form Disambiguated ID Type / Status
Subject Politics of Portugal E1011184 entity
Predicate schengenAreaMembership P11465 FINISHED
Object Schengen Area 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: Schengen Area | Statement: [Politics of Portugal, schengenAreaMembership, Schengen Area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schengenAreaMembership
Context triple: [Politics of Portugal, schengenAreaMembership, Schengen Area]
  • 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. haveSimilarStatusInSchengen
    Indicates that two entities share a comparable legal or administrative status within the Schengen area.
  • D. hasEuropeanUnionMembershipThrough
    Indicates that an entity holds membership in the European Union indirectly or by virtue of another entity (such as a state, territory, or organization) through which that membership is conferred.
  • E. supportsSchengenFlights
    Indicates that an entity enables or accommodates flights operating within the Schengen Area.
  • 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_69f76dcfdda48190b1ebae5da8b54f12 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78596dbd881908ac257a644fac731 completed May 3, 2026, 5:27 p.m.
PD Predicate disambiguation batch_69f7841812f081909d878955d114088e completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.