Triple

T3141570
Position Surface form Disambiguated ID Type / Status
Subject RER B E65656 entity
Predicate usesRollingStock P5426 FINISHED
Object MI 79
MI 79 is a class of electric multiple unit trains built for the Paris RER network, notably used on Line B.
 E332706 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: MI 79 | Statement: [RER B, usesRollingStock, MI 79]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MI 79
Context triple: [RER B, usesRollingStock, MI 79]
  • A. MI 09
    MI 09 is a modern dual-voltage electric multiple unit train used on the RER A commuter rail line in the Paris region.
  • B. Operation MI
    Operation MI was the Imperial Japanese Navy’s World War II plan to seize Midway Atoll, culminating in the pivotal Battle of Midway in June 1942.
  • C. MF 77
    MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
  • D. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • 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: MI 79
Triple: [RER B, usesRollingStock, MI 79]
Generated description
MI 79 is a class of electric multiple unit trains built for the Paris RER network, notably used on Line B.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MI 79
Target entity description: MI 79 is a class of electric multiple unit trains built for the Paris RER network, notably used on Line B.
  • A. MI 09
    MI 09 is a modern dual-voltage electric multiple unit train used on the RER A commuter rail line in the Paris region.
  • B. Operation MI
    Operation MI was the Imperial Japanese Navy’s World War II plan to seize Midway Atoll, culminating in the pivotal Battle of Midway in June 1942.
  • C. MF 77
    MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
  • D. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e4df38819089d0a11016a85ad8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b228c1b568819088dc5ce4a15fedc2 completed March 12, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69b22ccd34a8819089e207b6ee1f634a completed March 12, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:05 p.m.