Triple

T27110350
Position Surface form Disambiguated ID Type / Status
Subject A36 motorway E686692 entity
Predicate partOfInternationalCorridor P77611 FINISHED
Object France–Switzerland–Germany route 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: France–Switzerland–Germany route | Statement: [A36 motorway, partOfInternationalCorridor, France–Switzerland–Germany route]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfInternationalCorridor
Context triple: [A36 motorway, partOfInternationalCorridor, France–Switzerland–Germany route]
  • A. connectsToInternationalCorridor
    Indicates that an entity has a direct linkage or access to an international transportation or trade corridor.
  • B. partOfEconomicCorridor chosen
    Indicates that one entity is included within, or constitutes a segment of, a larger defined economic corridor.
  • C. locatedInTransportCorridor
    Indicates that an entity is situated within a designated transport corridor used for the movement of people or goods.
  • D. connectsToTransportCorridor
    Indicates that one entity has a direct linkage or access route to a designated transport corridor (such as a road, rail line, or similar transit pathway).
  • E. partOfTransportCorridorTo
    Indicates that one entity forms a component or segment of a larger transport corridor leading to another entity.
  • 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_69ef148accd48190b6ed6e13a15f2a4f completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: April 27, 2026, 8:53 a.m.