Triple

T5074196
Position Surface form Disambiguated ID Type / Status
Subject Lille Metro E114351 entity
Predicate rollingStock P1305 FINISHED
Object VAL 206 trains
VAL 206 trains are automated, rubber-tyred light metro vehicles used on systems such as the Lille Metro to provide frequent, driverless urban transit.
 E491648 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: VAL 206 trains | Statement: [Lille Metro, rollingStock, VAL 206 trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VAL 206 trains
Context triple: [Lille Metro, rollingStock, VAL 206 trains]
  • A. MP-68 trains
    MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
  • B. Class 166 train
    The Class 166 train is a British diesel multiple unit used primarily for regional and commuter services, notably in the Great Western Railway network.
  • C. MF 67 trains
    MF 67 trains are a long-serving class of steel-wheeled electric multiple units used extensively across the Paris Métro network.
  • D. Voyager trains
    Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
  • E. NE-92 trains
    NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
  • 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: VAL 206 trains
Triple: [Lille Metro, rollingStock, VAL 206 trains]
Generated description
VAL 206 trains are automated, rubber-tyred light metro vehicles used on systems such as the Lille Metro to provide frequent, driverless urban transit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VAL 206 trains
Target entity description: VAL 206 trains are automated, rubber-tyred light metro vehicles used on systems such as the Lille Metro to provide frequent, driverless urban transit.
  • A. MP-68 trains
    MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
  • B. Class 166 train
    The Class 166 train is a British diesel multiple unit used primarily for regional and commuter services, notably in the Great Western Railway network.
  • C. MF 67 trains
    MF 67 trains are a long-serving class of steel-wheeled electric multiple units used extensively across the Paris Métro network.
  • D. Voyager trains
    Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
  • E. NE-92 trains
    NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11b3f3c819089f09178f17940c5 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb1a445f48190b3318d816830e1a6 completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb23f789c8190811ee9e43327196c completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.