Triple

T3176356
Position Surface form Disambiguated ID Type / Status
Subject Beijing Capital International Airport Company Limited E66473 entity
Predicate hasLanguageOfCorporateDisclosure P45659 FINISHED
Object Chinese 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: Chinese | Statement: [Beijing Capital International Airport Company Limited, hasLanguageOfCorporateDisclosure, Chinese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfCorporateDisclosure
Context triple: [Beijing Capital International Airport Company Limited, hasLanguageOfCorporateDisclosure, Chinese]
  • A. languageOfCommunications
    Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
  • B. hasLanguageRepresentation
    Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
  • C. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • D. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • E. hasLanguageOfOrders
    Indicates that one entity uses or is associated with a particular language for issuing orders or commands to another entity.
  • F. None of above. chosen

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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:06 p.m.