Triple

T525429
Position Surface form Disambiguated ID Type / Status
Subject RER B line E10905 entity
Predicate lineDesignation P5539 FINISHED
Object B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
E65656 NE FINISHED

How this triple was built (5 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: B | Statement: [RER B line, lineDesignation, B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B
Context triple: [RER B line, lineDesignation, B]
  • A. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • B. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • E. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • 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: B
Triple: [RER B line, lineDesignation, B]
Generated description
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: B
Target entity description: B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • A. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • B. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest city.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • E. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lineDesignation
Context triple: [RER B line, lineDesignation, B]
  • A. lineType
    Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
  • B. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • C. railwayLineType
    Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
  • D. lineServed
    Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
  • E. hasLetterDesignation chosen
    Indicates that an entity is assigned or associated with a specific letter-based designation or code.
  • F. None of above.

Provenance (6 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b7f448819087e5e7f3b37d7142 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b23f97448190bd85a8c85d338039 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b2c975ec8190bc16f146f89c3f05 completed March 1, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69a4b343f8f88190bd011924dd485bef completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a2f0198ecc8190883849e5a8245963 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.