Triple

T18854487
Position Surface form Disambiguated ID Type / Status
Subject Makati Central Business District E461135 entity
Predicate hasShoppingMall P16039 FINISHED
Object Glorietta 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: Glorietta | Statement: [Makati Central Business District, hasShoppingMall, Glorietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glorietta
Context triple: [Makati Central Business District, hasShoppingMall, Glorietta]
  • A. Glorietta chosen
    Glorietta is a large shopping mall complex and commercial center located in the central business district of Makati in Metro Manila, Philippines.
  • B. Glorietta Park
    Glorietta Park is a public recreational area in Coronado, California, known for its waterfront views, open green spaces, and family-friendly amenities.
  • C. Ciudad Ayala
    Ciudad Ayala is a town in the Mexican state of Morelos known for its agricultural surroundings and role as the municipal seat of Ayala.
  • D. Paseo de Filipinos
    Paseo de Filipinos is a major avenue in Valladolid, Spain, known for linking the city center with key cultural and historical areas.
  • E. Upper Bicutan
    Upper Bicutan is a barangay (village-level administrative division) located in the highly urbanized city of Taguig in Metro Manila, Philippines.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05b4d8881909af0238f451b0e31 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.