Triple

T15980300
Position Surface form Disambiguated ID Type / Status
Subject MPM-10 E387553 entity
Predicate replaces P101 FINISHED
Object MR-63
MR-63 is a retired model of Montreal Metro rolling stock that previously operated on the city’s subway system.
E1188597 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: MR-63 | Statement: [MPM-10, replaces, MR-63]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MR-63
Context triple: [MPM-10, replaces, MR-63]
  • A. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • B. MR-3
    MR-3 is the designation for Mercury-Redstone 3, the NASA mission that carried Alan Shepard on the first American crewed spaceflight in 1961.
  • C. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • D. マサル
    マサル is a Japanese given name, typically masculine, used for various real and fictional individuals.
  • E. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • 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: MR-63
Triple: [MPM-10, replaces, MR-63]
Generated description
MR-63 is a retired model of Montreal Metro rolling stock that previously operated on the city’s subway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MR-63
Target entity description: MR-63 is a retired model of Montreal Metro rolling stock that previously operated on the city’s subway system.
  • A. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • B. MR-3
    MR-3 is the designation for Mercury-Redstone 3, the NASA mission that carried Alan Shepard on the first American crewed spaceflight in 1961.
  • C. GR-61
    GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
  • D. マサル
    マサル is a Japanese given name, typically masculine, used for various real and fictional individuals.
  • E. Michishio
    Michishio was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait in 1944.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157542cd88190832e7ae79bd38ffc completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5f664148190a1f400c28d31cafe completed May 9, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffc6f9b4f4819092600165241377f6 completed May 9, 2026, 11:44 p.m.
Created at: April 10, 2026, 4:54 a.m.