Triple

T11498125
Position Surface form Disambiguated ID Type / Status
Subject Cyberjaya E272596 entity
Predicate near P350 FINISHED
Object Putrajaya E45642 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: Putrajaya | Statement: [Cyberjaya, near, Putrajaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putrajaya
Context triple: [Cyberjaya, near, Putrajaya]
  • A. Putrajaya chosen
    Putrajaya is Malaysia’s planned federal administrative capital, known for its modern architecture, landscaped boulevards, and numerous government complexes.
  • B. Kuala Lumpur
    Kuala Lumpur is the capital and largest city of Malaysia, known for its modern skyline dominated by the Petronas Twin Towers and its role as the country’s cultural, financial, and economic center.
  • C. Shah Alam
    Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
  • D. Petaling Jaya
    Petaling Jaya is a major city in the state of Selangor, Malaysia, known as a key commercial and residential hub adjacent to Kuala Lumpur.
  • E. Johor Bahru
    Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60497be2c8190a82362280e51698a completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.