Triple

T5893369
Position Surface form Disambiguated ID Type / Status
Subject Boxtel E131042 entity
Predicate hasRailJunctionFunction P14468 FINISHED
Object true 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: true | Statement: [Boxtel, hasRailJunctionFunction, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailJunctionFunction
Context triple: [Boxtel, hasRailJunctionFunction, true]
  • A. railwayJunctionFor chosen
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • B. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • C. hasRailRoute
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • D. hasRailwayInfrastructureType
    Indicates that an entity possesses or is associated with a specific type or category of railway infrastructure.
  • E. railInterface
    Indicates a connection or interaction between entities via a rail-based system or interface.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0400f1af881908d376ea4793f6dea completed March 22, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69c0334dc8248190b7394dcece362d52 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:58 p.m.