Triple

T33998720
Position Surface form Disambiguated ID Type / Status
Subject R22 E871749 entity
Predicate isInRailwaySector P68241 FINISHED
Object passenger transport 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: passenger transport | Statement: [R22, isInRailwaySector, passenger transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInRailwaySector
Context triple: [R22, isInRailwaySector, passenger transport]
  • A. isRailwayIn
    Indicates that a railway is located within or passes through a specified geographic or administrative area.
  • B. railwayNetworkSector chosen
    Indicates a relationship where something is classified as, or associated with, a specific sector or segment of a railway network.
  • C. isOnRailway
    Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
  • D. railwaySectorOrigin
    Indicates the place or source from which a railway sector, line, or system originates or begins.
  • E. hasRailwayZone
    Indicates that a location or railway entity falls under the jurisdiction or coverage area of a specific railway zone.
  • 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_69f3499f8cbc81908de6ec89fa91ea8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:50 a.m.