Triple

T29431389
Position Surface form Disambiguated ID Type / Status
Subject Utrecht urban region E746440 entity
Predicate commuterFlowsFrom P71244 FINISHED
Object surrounding municipalities in Province of Utrecht 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: surrounding municipalities in Province of Utrecht | Statement: [Utrecht urban region, commuterFlowsFrom, surrounding municipalities in Province of Utrecht]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commuterFlowsFrom
Context triple: [Utrecht urban region, commuterFlowsFrom, surrounding municipalities in Province of Utrecht]
  • A. commutesBetween
    Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
  • B. hasCommuterTraffic
    Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
  • C. hasPassengerTrafficFrom chosen
    Indicates that an entity receives or handles passenger traffic originating from another entity.
  • D. commuterDestination
    Indicates that a location serves as the endpoint or target place to which a person regularly travels for commuting.
  • E. commuterCorridorFor
    Indicates a route or area that serves as a primary pathway for regular travel between two locations, typically used by commuters.
  • 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_69f0a7a06e0081908add494075912eb4 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ed5d008190831cf8e44cce28af completed May 3, 2026, 12:03 a.m.
Created at: April 28, 2026, 3:13 p.m.