Triple

T11266564
Position Surface form Disambiguated ID Type / Status
Subject Petaling Jaya E266700 entity
Predicate hasNotableArea P494 FINISHED
Object Bandar Sunway E307527 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: Bandar Sunway | Statement: [Petaling Jaya, hasNotableArea, Bandar Sunway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar Sunway
Context triple: [Petaling Jaya, hasNotableArea, Bandar Sunway]
  • A. Sunway City chosen
    Sunway City is an integrated township in Subang Jaya, Malaysia, known for its mix of residential, commercial, educational, and leisure developments.
  • B. Sunway Pyramid
    Sunway Pyramid is a large Egyptian-themed shopping mall and entertainment complex located in Bandar Sunway, Selangor, Malaysia.
  • C. Plaza Shah Alam
    Plaza Shah Alam is a prominent shopping mall and commercial complex in Shah Alam, Selangor, Malaysia, featuring a variety of retail outlets, dining options, and community-oriented facilities.
  • D. Berjaya Times Square
    Berjaya Times Square is a massive mixed-use complex in Kuala Lumpur featuring one of Malaysia’s largest shopping malls, a hotel, and various entertainment attractions.
  • E. KLCC Park
    KLCC Park is a landscaped urban park in central Kuala Lumpur known for its lake, fountains, and recreational spaces set against the backdrop of the Petronas Twin Towers.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.