Triple

T12661501
Position Surface form Disambiguated ID Type / Status
Subject Party Secretary of Liaoning E302434 entity
Predicate typicalOfficeLocation P1527 FINISHED
Object Shenyang E20553 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: Shenyang | Statement: [Party Secretary of Liaoning, typicalOfficeLocation, Shenyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenyang
Context triple: [Party Secretary of Liaoning, typicalOfficeLocation, Shenyang]
  • A. Shenyang chosen
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • B. Dalian
    Dalian is a major port city in northeastern China known for its strategic location on the Liaodong Peninsula, maritime trade, and modern urban development.
  • C. Liaoyuan
    Liaoyuan is a prefecture-level city in northeastern China known for its coal mining history and location in the central part of Jilin Province.
  • D. Changchun
    Changchun is a major city in northeastern China that served as the capital of the Japanese puppet state of Manchukuo during the early 20th century.
  • E. Anshan
    Anshan is a major industrial city in northeastern China, historically known as one of the country’s leading steel-producing centers.
  • 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: typicalOfficeLocation
Context triple: [Party Secretary of Liaoning, typicalOfficeLocation, Shenyang]
  • A. officeDeskLocation
    Indicates the specific desk or workstation location assigned to or used by an entity within an office space.
  • B. officeIsIn
    Indicates that one office is located within or inside another specified place or building.
  • C. mainOffice
    Indicates that one location or office serves as the primary or central office for an organization or entity.
  • D. locationOfWork chosen
    Indicates the place or site where an entity performs its work or carries out its professional activities.
  • E. locationInWork
    Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617c5b888190b37d4ede139bb49e completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688819fc8190bc03a1a11f96d25f completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:19 p.m.