Triple

T8724725
Position Surface form Disambiguated ID Type / Status
Subject SNCF Voyageurs E207101 entity
Predicate brand P1500 FINISHED
Object Lyria
Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
 E753002 NE FINISHED

How this triple was built (4 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: Lyria | Statement: [SNCF Voyageurs, brand, Lyria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyria
Context triple: [SNCF Voyageurs, brand, Lyria]
  • A. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • B. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • C. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • D. Doirani
    Doirani is a settlement in northern Greece near Lake Doirani, close to the border with North Macedonia, known for its historical significance in the Balkan Wars and World War I.
  • E. Liria
    Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lyria
Triple: [SNCF Voyageurs, brand, Lyria]
Generated description
Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyria
Target entity description: Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
  • A. Merania
    Merania was a medieval duchy on the Adriatic coast, historically associated with the House of Andechs and various European noble lineages.
  • B. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • C. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • D. Doirani
    Doirani is a settlement in northern Greece near Lake Doirani, close to the border with North Macedonia, known for its historical significance in the Balkan Wars and World War I.
  • E. Liria
    Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
  • F. None of above. chosen

Provenance (5 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.