Triple

T9442276
Position Surface form Disambiguated ID Type / Status
Subject LN1 E227673 entity
Predicate designedForService P9494 FINISHED
Object TGV E445505 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 | Statement: [LN1, designedForService, TGV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGV
Context triple: [LN1, designedForService, TGV]
  • A. TGV chosen
    TGV is France’s high-speed intercity train service, renowned for rapid connections between major cities such as Paris and Lille.
  • B. 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.
  • C. 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.
  • D. TGV Ouigo
    TGV Ouigo is a low-cost high-speed train service operated by SNCF in France, offering budget fares on selected TGV routes.
  • E. TGV PSE
    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: designedForService
Context triple: [LN1, designedForService, TGV]
  • A. isDesignedFor chosen
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • B. usedForService
    Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
  • C. serviceFor
    Indicates that one entity provides a service or performs functions on behalf of another entity.
  • D. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • E. usesServiceDesignation
    Indicates that one entity adopts or applies a particular service designation associated with another entity or offering.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f300cc88190a793712706295c53 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139db9d1081908e2014d6f0e7e925 completed April 4, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69cca5596ffc819097e9c8eefd4ef9b8 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:50 p.m.