Triple

T18807601
Position Surface form Disambiguated ID Type / Status
Subject SL metro E459919 entity
Predicate hasRollingStockClass P5426 FINISHED
Object C30
C30 is a class of metro rolling stock used on the Stockholm metro (SL) system.
E1344463 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: C30 | Statement: [SL metro, hasRollingStockClass, C30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C30
Context triple: [SL metro, hasRollingStockClass, C30]
  • A. C3
    C3 is the route designation for the Tokyo Gaikan Expressway, a major orbital expressway forming part of the ring road system around Tokyo, Japan.
  • B. C3F
    C3F is the official abbreviation for the United States Navy's Third Fleet, a major operational fleet responsible for naval forces in the eastern and northern Pacific Ocean.
  • C. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • D. 3C
    3C is a well-known astronomical catalog of extragalactic radio sources, including many prominent quasars and radio galaxies.
  • E. C-3a
    C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
  • 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: C30
Triple: [SL metro, hasRollingStockClass, C30]
Generated description
C30 is a class of metro rolling stock used on the Stockholm metro (SL) system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C30
Target entity description: C30 is a class of metro rolling stock used on the Stockholm metro (SL) system.
  • A. C3
    C3 is the route designation for the Tokyo Gaikan Expressway, a major orbital expressway forming part of the ring road system around Tokyo, Japan.
  • B. C3F
    C3F is the official abbreviation for the United States Navy's Third Fleet, a major operational fleet responsible for naval forces in the eastern and northern Pacific Ocean.
  • C. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • D. 3C
    3C is a well-known astronomical catalog of extragalactic radio sources, including many prominent quasars and radio galaxies.
  • E. C-3a
    C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bc1fc4881909628d71314b4d76a completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f4a93f4819092054e1a4f49fef1 completed May 14, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a055feac66c819095d9b852086296b5 completed May 14, 2026, 5:38 a.m.
Created at: April 10, 2026, 11:53 a.m.