Triple

T7701410
Position Surface form Disambiguated ID Type / Status
Subject Lyon–Turin rail axis E174504 entity
Predicate managingAuthority P9686 FINISHED
Object TELT
TELT is the binational public company responsible for designing, building, and operating the cross-border base tunnel of the Lyon–Turin high-speed rail link between France and Italy.
 E682911 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: TELT | Statement: [Lyon–Turin rail axis, managingAuthority, TELT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TELT
Context triple: [Lyon–Turin rail axis, managingAuthority, TELT]
  • A. Teles
    Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
  • B. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • C. Telecip
    Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
  • D. Telu
    Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
  • E. Telegin
    Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
  • 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: TELT
Triple: [Lyon–Turin rail axis, managingAuthority, TELT]
Generated description
TELT is the binational public company responsible for designing, building, and operating the cross-border base tunnel of the Lyon–Turin high-speed rail link between France and Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TELT
Target entity description: TELT is the binational public company responsible for designing, building, and operating the cross-border base tunnel of the Lyon–Turin high-speed rail link between France and Italy.
  • A. Teles
    Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
  • B. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • C. Telecip
    Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
  • D. Telu
    Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
  • E. Telegin
    Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70288d02c819093d6f0e47707d0a3 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acbc2024819083576f5a11c1e3a8 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8adeb3948819087404b0d7d7e619e completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8aedede388190b8eb79cea223c31c completed March 29, 2026, 4:47 a.m.
Created at: March 27, 2026, 4:03 p.m.