Triple

T14882179
Position Surface form Disambiguated ID Type / Status
Subject Xuanwumen station E350025 entity
Predicate hasIslandPlatformForLine P18595 FINISHED
Object Line 2 E768291 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: Line 2 | Statement: [Xuanwumen station, hasIslandPlatformForLine, Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 2
Context triple: [Xuanwumen station, hasIslandPlatformForLine, Line 2]
  • A. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • B. Line 2
    Line 2 is a rapid transit line of the Barcelona Metro system that serves several central and northern neighborhoods of the city.
  • C. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • D. Line 2
    Line 2 is the Yellow Line of the Delhi Metro, a major rapid transit corridor connecting key areas across Delhi and its neighboring regions.
  • E. Line 2 chosen
    Line 2 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, known for being one of the city's primary monorail corridors.
  • 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: hasIslandPlatformForLine
Context triple: [Xuanwumen station, hasIslandPlatformForLine, Line 2]
  • A. hasIslandPlatforms chosen
    Indicates that the subject has one or more island-style platforms, typically positioned between tracks and accessible from both sides.
  • B. hasConventionalLinePlatform
    Indicates that an entity provides or is associated with a platform specifically designated for conventional (non-high-speed or standard) railway lines.
  • C. hasIslandPlatformAccess
    Indicates that access is provided to or from an island platform, typically located between tracks and reachable by passengers.
  • D. hasBayPlatforms
    Indicates that a station or terminal is equipped with bay platforms, where tracks end in a dead-end configuration and trains enter and exit from the same direction.
  • E. hasRailPlatforms
    Indicates that an entity is equipped with one or more rail platforms used for boarding or alighting from trains.
  • F. None of above.

Provenance (4 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5af8208190a35451477ea20b03 completed May 8, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69de8c1a2bcc81908f914e2e2ced65eb completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:56 a.m.