Triple

T14845933
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Malaysia E349086 entity
Predicate seat P75 FINISHED
Object Perdana Putra E228720 NE 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: Perdana Putra | Statement: [Prime Minister of Malaysia, seat, Perdana Putra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perdana Putra
Context triple: [Prime Minister of Malaysia, seat, Perdana Putra]
  • A. Perdana Putra chosen
    Perdana Putra is the grand office complex that houses the Prime Minister’s Office of Malaysia, prominently overlooking Putrajaya.
  • B. Putra
    Putra is a Sanskrit-derived term commonly meaning "son" or "child," frequently used in South Asian names and religious contexts.
  • C. Himalay Putra
    Himalay Putra is a 1997 Hindi romantic drama film best known for marking the acting debut of Bollywood star Akshaye Khanna.
  • D. Indera Putera
    Indera Putera is a legendary prince-hero from Malay literary tradition, known for his adventures and appearances in classical hikayat (epic tales).
  • E. Sudirman
    Sudirman was a prominent Indonesian military commander and national hero who played a key role in leading guerrilla resistance against Dutch forces during Indonesia’s struggle for independence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65010190819083ec051eb5d82839 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.