Triple

T9289968
Position Surface form Disambiguated ID Type / Status
Subject SEHK:9988 E223490 entity
Predicate languageOfListing P3681 FINISHED
Object English 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: English | Statement: [SEHK:9988, languageOfListing, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfListing
Context triple: [SEHK:9988, languageOfListing, English]
  • A. officialLanguageOfListing
    Indicates that a specified language is the official language used in a particular listing.
  • B. languageOfProduct
    Indicates the language in which a product is written, labeled, presented, or otherwise made available.
  • C. languageSpecifies
    Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
  • D. presentedInLanguage chosen
    Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
  • E. languageOfMaterial
    Indicates the language in which a given material, resource, or content is expressed or presented.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08643a848190a8b5be1ccc0b2ef6 completed April 1, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69cc7a5aeb748190afb89c6bbd2a6d6f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:35 p.m.