Triple

T1492379
Position Surface form Disambiguated ID Type / Status
Subject Russin E29607 entity
Predicate railAccessTo P19495 FINISHED
Object Geneva E414 NE FINISHED

How this triple was built (3 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: Geneva | Statement: [Russin, railAccessTo, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva
Context triple: [Russin, railAccessTo, Geneva]
  • A. Geneva chosen
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • B. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • C. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • D. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • E. Nyon
    Nyon is a Swiss town on the shores of Lake Geneva that serves as the administrative home of several major sports organizations, including UEFA.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railAccessTo
Context triple: [Russin, railAccessTo, Geneva]
  • A. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • B. transportationFacility
    Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
  • C. hasRailFacility chosen
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • D. railServiceType
    Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
  • E. railroadTerminusFor
    Indicates that one location serves as the end point or final station of a particular railroad line for another location.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c4f0c88190a97ba4910c1a5d85 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5766234b0819087e4baaeb11de7e7 completed March 14, 2026, 2:53 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.