Triple

T34899315
Position Surface form Disambiguated ID Type / Status
Subject A49 motorway E1006530 entity
Predicate transportInfrastructureIn P143540 FINISHED
Object Drôme department NE NERFINISHED

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: Drôme department | Statement: [A49 motorway, transportInfrastructureIn, Drôme department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportInfrastructureIn
Context triple: [A49 motorway, transportInfrastructureIn, Drôme department]
  • A. shareTransportInfrastructure
    Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
  • B. transportInfrastructureFeature chosen
    Indicates a relationship where an entity is a specific element or component of transport infrastructure, such as roads, railways, or related facilities.
  • C. typeOfTransportInfrastructure
    Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
  • D. operatorOfTransportInfrastructure
    Indicates that an entity operates, manages, or runs a specific piece of transport infrastructure.
  • E. transportInfrastructureResponsibility
    Indicates responsibility for the planning, development, maintenance, or management of transport infrastructure such as roads, railways, ports, or related facilities.
  • 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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff397e19a88190a945b826159f5290 completed May 9, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69ff392400d0819088d30d08d4a774bd completed May 9, 2026, 1:39 p.m.
Created at: May 3, 2026, 4 p.m.