Triple

T16817472
Position Surface form Disambiguated ID Type / Status
Subject TVM-300 E408790 entity
Predicate compatibleRollingStock P55211 FINISHED
Object TGV Sud-Est E444692 NE FINISHED

How this triple was built (3 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: TGV Sud-Est | Statement: [TVM-300, compatibleRollingStock, TGV Sud-Est]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV Sud-Est
Context triple: [TVM-300, compatibleRollingStock, TGV Sud-Est]
  • A. TGV Est
    TGV Est is a French high-speed train service connecting Paris with eastern France and neighboring European countries such as Germany, Luxembourg, and Switzerland.
  • B. TGV Réseau
    TGV Réseau is a later-generation French high-speed trainset used by SNCF, designed for improved performance and comfort on the expanding TGV network.
  • C. TGV INOUI
    TGV INOUI is SNCF’s premium high-speed train service in France, offering upgraded comfort, amenities, and service compared to standard TGV trains.
  • D. TGV
    TGV is France’s high-speed intercity train service, renowned for rapid connections between major cities such as Paris and Lille.
  • E. TGV PSE chosen
    TGV PSE is the original generation of French high-speed TGV Sud-Est trainsets that inaugurated high-speed rail service in France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compatibleRollingStock
Context triple: [TVM-300, compatibleRollingStock, TGV Sud-Est]
  • A. usesRollingStockCompatibleWith chosen
    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. relatedRollingStock
    Indicates a relationship between pieces of rolling stock that are associated with each other, such as through shared operations, configurations, or functional linkage.
  • C. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • D. usesRollingStock
    Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
  • E. formerRollingStock
    Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
  • F. None of above.

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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e30cf48190a61936ba0a49df24 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b297778c81909a2545c359739151 completed May 10, 2026, 4:30 p.m.
PD Predicate disambiguation batch_69e32b814b188190aee525f8779203cd completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.