Triple

T16721492
Position Surface form Disambiguated ID Type / Status
Subject Hornell, New York E406358 entity
Predicate hasRailFacilityHistory P28401 FINISHED
Object railroad shops 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: railroad shops | Statement: [Hornell, New York, hasRailFacilityHistory, railroad shops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailFacilityHistory
Context triple: [Hornell, New York, hasRailFacilityHistory, railroad shops]
  • A. hasRailroadHistoryWith
    Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
  • B. hasRailroadHistory chosen
    Indicates that an entity is associated with, involved in, or notable for historical events, operations, or developments related to railroads.
  • C. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • D. hasInfrastructureHistory
    Indicates that there exists a record or account of past changes, developments, or states of infrastructure associated with an entity.
  • E. hasRailwayJunctionHistorically
    Indicates that an entity historically functioned as a railway junction, where multiple rail lines intersected or connected in the past.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38743750c81908a980372ad8f1a6a completed April 18, 2026, 1:29 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:20 a.m.