Triple

T4203628
Position Surface form Disambiguated ID Type / Status
Subject Grand Genève E86128 entity
Predicate crossBorderCooperationBetween P31352 FINISHED
Object Swiss municipalities 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: Swiss municipalities | Statement: [Grand Genève, crossBorderCooperationBetween, Swiss municipalities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossBorderCooperationBetween
Context triple: [Grand Genève, crossBorderCooperationBetween, Swiss municipalities]
  • A. crossBorderCooperationStructure
    Indicates a formal arrangement or framework through which entities from different countries collaborate and coordinate activities across national borders.
  • B. crossBorderRegion chosen
    Indicates a region that spans or intersects the boundary between two or more distinct territorial or jurisdictional areas.
  • C. transboundaryContext
    Indicates a context, situation, or effect that crosses or involves the boundaries between two or more distinct jurisdictions, regions, or territories.
  • D. crossBorderFacilityLocatedIn
    Indicates that a cross-border facility is geographically situated within a specified territorial or administrative area.
  • E. sharesInternationalBorderWith
    Indicates that two geographic or political entities have a common boundary that is recognized as an international border.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0380d470819091ffdb1161437266 completed March 9, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69af01959c4881909eb1adcb3bdadbe6 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:49 p.m.