Triple

T2534683
Position Surface form Disambiguated ID Type / Status
Subject Cubao E56239 entity
Predicate hasLandmark P105 FINISHED
Object Ali Mall E274636 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: Ali Mall | Statement: [Cubao, hasLandmark, Ali Mall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Mall
Context triple: [Cubao, hasLandmark, Ali Mall]
  • A. Ali Mall chosen
    Ali Mall is a historic shopping center in Cubao, Quezon City, Philippines, known as one of the country’s first major enclosed malls and named after boxing legend Muhammad Ali.
  • B. Los Angeles Mall
    Los Angeles Mall is an underground shopping and pedestrian complex located within the Civic Center area of Downtown Los Angeles.
  • C. The Mall
    The Mall is a grand ceremonial road in central London that runs between Buckingham Palace and Trafalgar Square, often used for royal processions and public celebrations.
  • D. International Mall
    International Mall was a themed exhibition and shopping area created as part of the 1962 Seattle World’s Fair, showcasing international culture, goods, and pavilions.
  • E. Mayfair Shopping Center
    Mayfair Shopping Center is a local retail plaza in Commack, New York, featuring a variety of shops, services, and dining options for area residents.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27c8650819080005869789b802c completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf858cc81908d6a7ef5315119aa completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.