Triple

T11581632
Position Surface form Disambiguated ID Type / Status
Subject Shopwise Araneta Center E274638 entity
Predicate locatedIn P40 FINISHED
Object Cubao E56239 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: Cubao | Statement: [Shopwise Araneta Center, locatedIn, Cubao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cubao
Context triple: [Shopwise Araneta Center, locatedIn, Cubao]
  • A. Cubao chosen
    Cubao is a major commercial and transport hub in Quezon City, Metro Manila, known for its shopping centers, bus terminals, and entertainment venues.
  • B. Malabon
    Malabon is a coastal city in the northern part of Metro Manila in the Philippines, known for its historic districts, flood-prone waterways, and distinctive local cuisine.
  • C. Central Bicutan
    Central Bicutan is a barangay (administrative district) located within the city of Taguig in Metro Manila, Philippines.
  • D. Makati Central Business District
    Makati Central Business District is the primary financial and commercial hub of Metro Manila, known for its concentration of corporate headquarters, upscale malls, and high-rise office towers.
  • E. Loyola Heights, Quezon City
    Loyola Heights, Quezon City is an upscale residential and educational district in Quezon City, Metro Manila, known for its universities, exclusive subdivisions, and vibrant commercial areas.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08f645c70819085c13b641deecb82 completed April 28, 2026, 10:43 a.m.
Created at: April 8, 2026, 9:38 p.m.