Triple

T5726708
Position Surface form Disambiguated ID Type / Status
Subject Lyon Metro Line B E126282 entity
Predicate rollingStock P1305 FINISHED
Object MPL 75
MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
E539414 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: MPL 75 | Statement: [Lyon Metro Line B, rollingStock, MPL 75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPL 75
Context triple: [Lyon Metro Line B, rollingStock, MPL 75]
  • A. MPL
    MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
  • B. MPL Communications
    MPL Communications is Paul McCartney’s multimedia entertainment company that manages music publishing, copyrights, and other creative assets.
  • C. MVP Gold 75K
    MVP Gold 75K is one of Alaska Airlines’ highest Mileage Plan elite status levels, offering extensive travel perks such as bonus miles, complimentary upgrades, and priority services.
  • D. M75
    M75 is a densely concentrated globular star cluster in the constellation Sagittarius, cataloged by Charles Messier.
  • E. MP 73
    MP 73 is a rubber-tyred electric multiple unit train type used on the Paris Métro, introduced in the 1970s and known for operating on several elevated and automated lines.
  • 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: MPL 75
Triple: [Lyon Metro Line B, rollingStock, MPL 75]
Generated description
MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MPL 75
Target entity description: MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
  • A. MPL
    MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
  • B. MPL Communications
    MPL Communications is Paul McCartney’s multimedia entertainment company that manages music publishing, copyrights, and other creative assets.
  • C. MVP Gold 75K
    MVP Gold 75K is one of Alaska Airlines’ highest Mileage Plan elite status levels, offering extensive travel perks such as bonus miles, complimentary upgrades, and priority services.
  • D. M75
    M75 is a densely concentrated globular star cluster in the constellation Sagittarius, cataloged by Charles Messier.
  • E. MP 73
    MP 73 is a rubber-tyred electric multiple unit train type used on the Paris Métro, introduced in the 1970s and known for operating on several elevated and automated lines.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250a7f6c8190a264935086608186 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a86eea0819090bf6f9952d8dcc9 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d30463481909876ca02516d31cc completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:47 p.m.