Triple

T5274993
Position Surface form Disambiguated ID Type / Status
Subject Javanese people of Malaysia E119351 entity
Predicate modernOccupation P2374 FINISHED
Object diverse urban employment sectors 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: diverse urban employment sectors | Statement: [Javanese people of Malaysia, modernOccupation, diverse urban employment sectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernOccupation
Context triple: [Javanese people of Malaysia, modernOccupation, diverse urban employment sectors]
  • A. traditionalOccupations
    Indicates that an entity is associated with occupations or jobs that are customary, long-established, or culturally traditional within a particular community or context.
  • B. representedOccupation
    Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
  • C. subjectOccupation chosen
    Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
  • D. requiredOccupationOf
    Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
  • E. earlyOccupation
    Indicates that an entity held a particular occupation or job during an early stage of its life or career.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c23bed88190b406dee21957d823 completed March 20, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69bd77c83d1c8190bd8b9616113d413c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:51 p.m.