Triple

T16919079
Position Surface form Disambiguated ID Type / Status
Subject 排云殿 E410395 entity
Predicate 所在地点 P40 FINISHED
Object 北京市海淀区 E89575 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: 北京市海淀区 | Statement: [排云殿, 所在地点, 北京市海淀区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 北京市海淀区
Context triple: [排云殿, 所在地点, 北京市海淀区]
  • A. 西城区
    西城区是中国北京市中心的一个重要城区，以其丰富的历史文化遗产和众多政府机关、金融机构的集中分布而著称。
  • B. 石景山区
    石景山区 is an urban district in western Beijing, China, known for its industrial heritage, mountainous scenery, and attractions such as Shijingshan Amusement Park.
  • C. Haidian District Government
    Haidian District Government is the administrative authority responsible for governing Beijing’s Haidian District, including areas such as Qinghe Subdistrict.
  • D. Haidian District chosen
    Haidian District is a major urban district in northwest Beijing known for its universities, technology hubs, and historic imperial gardens.
  • E. Haidian Subdistrict
    Haidian Subdistrict is the central urban area and seat of local government within Beijing’s Haidian District, known for its dense commercial and residential development.
  • 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: 所在地点
Context triple: [排云殿, 所在地点, 北京市海淀区]
  • A. connectionLocation
    Indicates the place or spatial context where a connection between entities occurs or is established.
  • B. operationLocation
    Indicates the place or site where an operation, activity, or process is carried out.
  • C. locatedIn chosen
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • D. subjectLocation
    Indicates that one entity is located at, in, or near the place or position specified by another entity.
  • E. locationWhenGiven
    Indicates the place where an entity is located at the time it is given or transferred to another entity.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdec3d0c8190994a0fca335c65d6 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7c2c9cc8190b6d59d0a8edd078d completed May 10, 2026, 6 p.m.
PD Predicate disambiguation batch_69e32b982f548190b08414d55810de19 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:30 a.m.