Triple

T4454969
Position Surface form Disambiguated ID Type / Status
Subject Mechanicville, New York E97697 entity
Predicate hasRailInfrastructureHistory P28401 FINISHED
Object classification yard 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: classification yard | Statement: [Mechanicville, New York, hasRailInfrastructureHistory, classification yard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailInfrastructureHistory
Context triple: [Mechanicville, New York, hasRailInfrastructureHistory, classification yard]
  • A. hasRailroadHistory chosen
    Indicates that an entity is associated with, involved in, or notable for historical events, operations, or developments related to railroads.
  • B. hasRailroadHistoryWith
    Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
  • C. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • D. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • E. formerRailUse
    Indicates that an entity previously served a particular railway-related function or purpose, but no longer does so.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f79ca481909338dda9f4f7171f completed March 13, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69b34f649df081909d3cc2f6a1b8f282 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:33 p.m.