Triple

T1117546
Position Surface form Disambiguated ID Type / Status
Subject Basel–Mulhouse railway E11134 entity
Predicate borderCrossing P4105 FINISHED
Object Swiss–French border near Basel 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–French border near Basel | Statement: [Basel–Mulhouse railway, borderCrossing, Swiss–French border near Basel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderCrossing
Context triple: [Basel–Mulhouse railway, borderCrossing, Swiss–French border near Basel]
  • A. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • B. hasBorderCrossing chosen
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • C. borderEstablished
    Indicates that a formal boundary between two geographic or political entities has been officially defined and put into effect.
  • D. hasBorderCrossingFunction
    Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
  • E. borderRegime
    Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:43 p.m.