Triple

T18470143
Position Surface form Disambiguated ID Type / Status
Subject Fort Bonifacio E451273 entity
Predicate contains P35 FINISHED
Object Uptown Bonifacio 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: Uptown Bonifacio | Statement: [Fort Bonifacio, contains, Uptown Bonifacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uptown Bonifacio
Context triple: [Fort Bonifacio, contains, Uptown Bonifacio]
  • A. Glorietta
    Glorietta is a large shopping mall complex and commercial center located in the central business district of Makati in Metro Manila, Philippines.
  • B. Ortigas Center
    Ortigas Center is a major mixed-use central business district in the Philippines known for its corporate offices, shopping malls, and high-rise developments.
  • C. Bonifacio Global City chosen
    Bonifacio Global City is a major modern financial and lifestyle district in Metro Manila known for its upscale offices, shopping centers, and vibrant urban development.
  • D. Upper Bicutan
    Upper Bicutan is a barangay (village-level administrative division) located in the highly urbanized city of Taguig in Metro Manila, Philippines.
  • E. Timog Avenue
    Timog Avenue is a major commercial and entertainment thoroughfare in Quezon City, Philippines, known for its restaurants, bars, and media-related establishments.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5305e349c8190925166bc3dddb320 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.