Triple

T3811053
Position Surface form Disambiguated ID Type / Status
Subject Annemasse E93133 entity
Predicate commuterFlowsTo P19600 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: [Annemasse, commuterFlowsTo, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva
Context triple: [Annemasse, commuterFlowsTo, 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: commuterFlowsTo
Context triple: [Annemasse, commuterFlowsTo, Geneva]
  • A. commutesBetween
    Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
  • B. hasCommuterTraffic chosen
    Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
  • C. commuterServiceTo
    Indicates a transportation service that regularly carries commuters to a specified destination.
  • D. hasCommuterOrientation
    Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
  • E. transportCorridor
    Indicates a route or pathway used to move people, goods, or resources between locations.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aef1515c688190a38332aedeed8a76 completed March 9, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb6fb95008190af52d015903bca5c completed March 22, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69aee7482d708190a3ec74745b102a4c completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:16 p.m.