Triple

T13222420
Position Surface form Disambiguated ID Type / Status
Subject South Kensington tube station E314787 entity
Predicate hasSubsurfaceLines P108598 FINISHED
Object Circle line E59707 NE FINISHED

How this triple was built (3 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: Circle line | Statement: [South Kensington tube station, hasSubsurfaceLines, Circle line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle line
Context triple: [South Kensington tube station, hasSubsurfaceLines, Circle line]
  • A. Circle line chosen
    The Circle line is a central London Underground route forming a loop through key districts and interchanges in the city’s transport network.
  • B. Circle Line
    Circle Line is a mass rapid transit line in Singapore that forms a loop connecting key residential, commercial, and educational districts around the city.
  • C. Circular line
    The Circular line is a driverless rapid transit line in the Taipei Metro system that forms a loop connecting multiple districts around the city.
  • D. Circular line
    Circular line is the nickname for Line 6 of the Madrid Metro, a heavily used underground route that forms a loop around central Madrid.
  • E. Circles
    "Circles" is a song featured on Bill Callahan's album "Shepherd in a Sheepskin Vest."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubsurfaceLines
Context triple: [South Kensington tube station, hasSubsurfaceLines, Circle line]
  • A. hasSubsurfacePlatforms
    Indicates that an entity includes or is equipped with platforms located below the surface or underground.
  • B. hasContourLines
    Indicates that an entity (such as a map or geographic representation) includes contour lines depicting elevation or terrain shape.
  • C. hasSubSurfacePlatformsFor
    Indicates that one entity provides or contains subsurface platforms intended to support, serve, or be used by another entity.
  • D. hasSurfaceSections
    Indicates that an entity is composed of or divided into distinct sections or parts of its surface.
  • E. hasLowerLevelLine
    Indicates that one line is positioned or ranked below another line within a hierarchical or layered structure.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
PD Predicate disambiguation batch_69d98bc938f081909f123bdf1263ff7f completed April 10, 2026, 11:46 p.m.
PDg Predicate description generation batch_69d98c959ba08190adf29dc0c4e1fca6 completed April 10, 2026, 11:49 p.m.
Created at: April 9, 2026, 9:19 p.m.