Triple

T15590917
Position Surface form Disambiguated ID Type / Status
Subject Jinzhou Municipal People's Government E374739 entity
Predicate scriptOfWork P119346 FINISHED
Object Simplified 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: Simplified Chinese | Statement: [Jinzhou Municipal People's Government, scriptOfWork, Simplified Chinese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptOfWork
Context triple: [Jinzhou Municipal People's Government, scriptOfWork, Simplified Chinese]
  • A. worksFrom
    Indicates that an entity performs its work or duties starting from or based at a specified location or source.
  • B. studioOfWork
    Indicates that a particular studio is the place where a given work (such as a film, artwork, or recording) was created, produced, or primarily developed.
  • C. workWriterOfWorkAppearedIn
    Indicates that a work is written by an author whose work appeared in a particular publication or context.
  • D. workBy
    Indicates that a work (such as a creation, product, or result) is produced, authored, or created by a particular agent or entity.
  • E. screenwriterOfWork
    Indicates that a person served as the screenwriter (wrote the screenplay) for a particular creative work.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69deda817e9881909b0c66fc9056f7d5 completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:11 a.m.