Triple

T28600316
Position Surface form Disambiguated ID Type / Status
Subject Spain E723891 entity
Predicate sharesMotorwayNetworkWith P152345 FINISHED
Object France 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: France | Statement: [Spain, sharesMotorwayNetworkWith, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesMotorwayNetworkWith
Context triple: [Spain, sharesMotorwayNetworkWith, France]
  • A. motorwayServedBy
    Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
  • B. isMotorwayIn
    Indicates that a motorway is located within or passes through a specified geographic area or administrative region.
  • C. motorwayConnectionWith chosen
    Indicates that two locations are directly connected by a motorway, allowing vehicular travel between them via that road.
  • D. nationalHighwayConnectivity
    Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
  • E. shareTransportInfrastructure
    Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
  • 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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd68abf52881909c5a390c362b7c59 completed May 8, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69fd6812d0c88190930d8fa2d4b92490 completed May 8, 2026, 4:35 a.m.
Created at: April 28, 2026, 4:24 a.m.