Triple

T19031008
Position Surface form Disambiguated ID Type / Status
Subject SM Aura Premier E465734 entity
Predicate partOf P40 FINISHED
Object SM Supermalls NE NERFINISHED

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: SM Supermalls | Statement: [SM Aura Premier, partOf, SM Supermalls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SM Supermalls
Context triple: [SM Aura Premier, partOf, SM Supermalls]
  • A. SM Supermalls chosen
    SM Supermalls is a major Philippine shopping mall chain owned by SM Prime Holdings, known for operating some of the largest and most popular malls in the country and across Asia.
  • B. Star Mega Mall
    Star Mega Mall is a major modern shopping complex in Sibu, Malaysia, featuring a wide range of retail, dining, and entertainment options.
  • C. SM Supermarket
    SM Supermarket is a major Philippine supermarket chain offering a wide range of groceries and household goods, typically serving as a primary anchor store in SM shopping malls.
  • D. Mega City Mall
    Mega City Mall is a large modern shopping and entertainment complex located in Banqiao District, New Taipei City, Taiwan.
  • E. Simon Malls
    Simon Malls is a prominent chain of shopping malls in the United States known for its large-scale retail centers and diverse mix of stores and dining options.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7404d748190bcb51692fb822fd4 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.