Triple

T36301006
Position Surface form Disambiguated ID Type / Status
Subject Chiasso railway station E893511 entity
Predicate locatedNearBorderCrossing P27684 FINISHED
Object Chiasso–Como road border E1488562 NE 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: Chiasso–Como road border | Statement: [Chiasso railway station, locatedNearBorderCrossing, Chiasso–Como road border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedNearBorderCrossing
Context triple: [Chiasso railway station, locatedNearBorderCrossing, Chiasso–Como road border]
  • A. nearBorderCrossing chosen
    Indicates that an entity is located close to a border crossing point between two regions or countries.
  • B. hasNearbyCrossBorderInfrastructure
    Indicates that there exists infrastructure located near a border that connects or serves entities on both sides of that border.
  • C. hasNearbySettlementAcrossBorder
    Indicates that one settlement is located close to another settlement that lies just across an intervening political or administrative border.
  • D. locatedNearStateBorderWith
    Indicates that one entity is situated geographically close to the border of a specified state.
  • E. hasBorderCrossingSide
    Indicates that one side of a border crossing is associated with or located on a particular boundary or segment of that crossing.
  • F. None of above.

Provenance (4 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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d802d948190b95f4d1aff327290 completed June 22, 2026, 6:22 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:09 p.m.