Triple

T20247668
Position Surface form Disambiguated ID Type / Status
Subject Winchester and Western Railroad E498464 entity
Predicate trackGaugeInMillimeters P391 FINISHED
Object 1435 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: 1435 | Statement: [Winchester and Western Railroad, trackGaugeInMillimeters, 1435]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trackGaugeInMillimeters
Context triple: [Winchester and Western Railroad, trackGaugeInMillimeters, 1435]
  • A. trackGauge chosen
    Indicates the distance between the inner faces of the rails in a railway track system.
  • B. trackDiameter
    Indicates the diameter measurement of a track, typically specifying the width across its circular or rounded layout.
  • C. formerTrackGauge
    Indicates that an entity previously had a specified track gauge, which has since been changed or is no longer in use.
  • D. designedToMeasure
    Indicates that one entity was intentionally created or configured for the purpose of quantifying, assessing, or evaluating another entity or its properties.
  • E. trackGaugeOptions
    Indicates the available or applicable gauge (measurement) configurations that can be used for a given track.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a3c61481909413e042d76cc580 completed April 20, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69e55b1b23f88190bdcbe2f81dd226dd completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:40 p.m.