Triple

T8773989
Position Surface form Disambiguated ID Type / Status
Subject Ventimiglia railway station E208531 entity
Predicate railwayTrafficOperator P20222 FINISHED
Object Thello
Thello is an Italian-French train operator known for running cross-border passenger services between France and Italy.
 E756276 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: Thello | Statement: [Ventimiglia railway station, railwayTrafficOperator, Thello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thello
Context triple: [Ventimiglia railway station, railwayTrafficOperator, Thello]
  • A. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • B. Ilmandu
    Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
  • C. Thel
    Thel is a shortened given name or nickname derived from the name Thelma.
  • D. Questa
    Questa is a hardware design and verification software suite from Mentor Graphics used for simulating and validating complex digital circuits and systems.
  • E. Tú
    "Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • 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: Thello
Triple: [Ventimiglia railway station, railwayTrafficOperator, Thello]
Generated description
Thello is an Italian-French train operator known for running cross-border passenger services between France and Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thello
Target entity description: Thello is an Italian-French train operator known for running cross-border passenger services between France and Italy.
  • A. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • B. Ilmandu
    Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
  • C. Thel
    Thel is a shortened given name or nickname derived from the name Thelma.
  • D. Questa
    Questa is a hardware design and verification software suite from Mentor Graphics used for simulating and validating complex digital circuits and systems.
  • E. Tú
    "Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2ef3288190988bd69e8a02e741 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51c760b48190b2138cd2861b2c61 completed April 3, 2026, 5:36 a.m.
NEDg Description generation batch_69cf52f0886881909ceb9fbe54f84d11 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf53bc19fc81908f43c3fa29bae021 completed April 3, 2026, 5:44 a.m.
Created at: March 30, 2026, 6:41 p.m.