Triple

T19738969
Position Surface form Disambiguated ID Type / Status
Subject Landquart–Davos railway line E474060 entity
Predicate gaugeValue P137149 FINISHED
Object 1000 mm 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: 1000 mm | Statement: [Landquart–Davos railway line, gaugeValue, 1000 mm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gaugeValue
Context triple: [Landquart–Davos railway line, gaugeValue, 1000 mm]
  • A. gaugeType
    Indicates the specific kind or category of gauge associated with an entity or measurement.
  • B. gaugeGroup
    Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
  • C. gaugeCompatibleWith
    Indicates that one gauge can be properly used with, mounted to, or function correctly in conjunction with another specified component or system.
  • D. gaugeClass
    Indicates that one entity is classified as a particular type or category of gauge.
  • E. gaugeServed
    Indicates that a gauge or measuring device is currently being supplied or serviced by a particular source or system.
  • F. None of above. chosen

Provenance (4 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69e5304a7aac8190ac13f75f0c008e45 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bbedf081908d801600e2af94a7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:47 p.m.