Triple

T22180598
Position Surface form Disambiguated ID Type / Status
Subject French railway network E548156 entity
Predicate usesSignallingSystem P19148 FINISHED
Object TVM
TVM is a high-speed railway cab signalling and train control system used on French high-speed lines such as the TGV network.
 E1522664 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: TVM | Statement: [French railway network, usesSignallingSystem, TVM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TVM
Context triple: [French railway network, usesSignallingSystem, TVM]
  • A. BOM
    BOM is the station code for Bomaderry railway station, a terminus on the South Coast railway line in New South Wales, Australia.
  • B. BOM
    BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
  • C. Automat
    "Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
  • D. Coinstar
    Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
  • E. AFC (Automatic Fare Collection)
    AFC (Automatic Fare Collection) is an automated system used in public transportation networks to manage fare payment, ticketing, and access control through contactless cards, smart tokens, and electronic validation equipment.
  • 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: TVM
Triple: [French railway network, usesSignallingSystem, TVM]
Generated description
TVM is a high-speed railway cab signalling and train control system used on French high-speed lines such as the TGV network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TVM
Target entity description: TVM is a high-speed railway cab signalling and train control system used on French high-speed lines such as the TGV network.
  • A. BOM
    BOM is the station code for Bomaderry railway station, a terminus on the South Coast railway line in New South Wales, Australia.
  • B. BOM
    BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
  • C. Automat
    "Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
  • D. Coinstar
    Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
  • E. AFC (Automatic Fare Collection)
    AFC (Automatic Fare Collection) is an automated system used in public transportation networks to manage fare payment, ticketing, and access control through contactless cards, smart tokens, and electronic validation equipment.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa4d4ac8190922b919c15623963 completed April 28, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ecaeb9481909ec0ddab80a4b6cb completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa0066d0481909872d8e1dbbe2fcf completed May 18, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa07acd5c8190bc73cc1d8897fa01 completed May 18, 2026, 5:15 a.m.
Created at: April 16, 2026, 8:35 p.m.