Triple

T12007243
Position Surface form Disambiguated ID Type / Status
Subject CONVEL E285811 entity
Predicate usedOnRollingStockType P1305 FINISHED
Object tilting train 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: tilting train | Statement: [CONVEL, usedOnRollingStockType, tilting train]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedOnRollingStockType
Context triple: [CONVEL, usedOnRollingStockType, tilting train]
  • A. usesRollingStockCompatibleWith
    Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
  • B. usesRollingStock
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • C. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • D. rollingStockType chosen
    Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
  • E. railwayCarriageUsedFor
    Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902b245cc8190af96a9c2bd9c6250 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.