Triple

T1781338
Position Surface form Disambiguated ID Type / Status
Subject Eurostar E39296 entity
Predicate borderControl P13728 FINISHED
Object juxtaposed controls at departure stations 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: juxtaposed controls at departure stations | Statement: [Eurostar, borderControl, juxtaposed controls at departure stations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderControl
Context triple: [Eurostar, borderControl, juxtaposed controls at departure stations]
  • A. borderRegime
    Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
  • B. hasBorderControlStatus chosen
    Indicates the type or condition of border control that applies to a given entity or location.
  • C. borderConcern
    Indicates a relationship where one entity has issues, disputes, or security considerations related to its shared boundary or border with another entity.
  • D. borderEstablished
    Indicates that a formal boundary between two geographic or political entities has been officially defined and put into effect.
  • E. borderMonitored
    Indicates that a border between two regions or entities is actively being watched, controlled, or surveilled.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab74dc9d1481908084ef07872a71f8 completed March 7, 2026, 12:44 a.m.
PD Predicate disambiguation batch_69aa61cf3ca881908641fd73ce2f7c9d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.