Triple

T36800660
Position Surface form Disambiguated ID Type / Status
Subject 崇文门 E909312 entity
Predicate 地铁线路 P18378 FINISHED
Object 北京地铁2号线 LITERAL FINISHED

How this triple was built (2 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: 北京地铁2号线 | Statement: [崇文门, 地铁线路, 北京地铁2号线]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 地铁线路
Context triple: [崇文门, 地铁线路, 北京地铁2号线]
  • A. subwayLine chosen
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • B. railwayLine
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • C. urbanRailway
    Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
  • D. cityRailNetwork
    Indicates that there exists a rail-based public transportation system operating within and serving the specified city.
  • E. monorailLines
    Indicates that there is a monorail transit line or system associated with, serving, or present in the referenced entity.
  • F. None of above.

Provenance (3 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_69f76e7b98888190899b6478a82ad6ae completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca93bd0481909d6eee9e950001a1 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:12 p.m.