Triple

T18807600
Position Surface form Disambiguated ID Type / Status
Subject SL metro E459919 entity
Predicate hasRollingStockClass P5426 FINISHED
Object C20
C20 is a class of modern metro trains used on the Stockholm metro system in Sweden.
E1344462 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: C20 | Statement: [SL metro, hasRollingStockClass, C20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C20
Context triple: [SL metro, hasRollingStockClass, C20]
  • A. C2
    C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
  • B. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • C. C2r
    C2r is the standard magnetic polarity chron code assigned to the Gauss–Matuyama geomagnetic reversal interval in the geomagnetic polarity timescale.
  • D. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • E. C.205
    C.205 is the Italian Air Force designation for the Macchi C.205 Veltro, a World War II-era single-seat fighter aircraft.
  • 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: C20
Triple: [SL metro, hasRollingStockClass, C20]
Generated description
C20 is a class of modern metro trains used on the Stockholm metro system in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C20
Target entity description: C20 is a class of modern metro trains used on the Stockholm metro system in Sweden.
  • A. C2
    C2 is the software consultancy founded by Ward Cunningham, best known for creating the first wiki and contributing to agile software development practices.
  • B. C-2
    C-2 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • C. C2r
    C2r is the standard magnetic polarity chron code assigned to the Gauss–Matuyama geomagnetic reversal interval in the geomagnetic polarity timescale.
  • D. C2F
    C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
  • E. C.205
    C.205 is the Italian Air Force designation for the Macchi C.205 Veltro, a World War II-era single-seat fighter aircraft.
  • 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.