Triple

T11580945
Position Surface form Disambiguated ID Type / Status
Subject Loyola Schools E274623 entity
Predicate locatedIn P40 FINISHED
Object Loyola Heights E277579 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: Loyola Heights | Statement: [Loyola Schools, locatedIn, Loyola Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loyola Heights
Context triple: [Loyola Schools, locatedIn, Loyola Heights]
  • 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. Loyola Heights, Quezon City chosen
    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.
  • C. Upper Bicutan
    Upper Bicutan is a barangay (village-level administrative division) located in the highly urbanized city of Taguig in Metro Manila, Philippines.
  • D. Sampaloc
    Sampaloc is a district in Manila, Philippines, known for being a major educational hub that includes the University of Santo Tomas and several other universities and colleges.
  • E. Cabanga neighborhood
    Cabanga neighborhood is a waterfront district in Recife, Brazil, known for its marinas, nautical activities, and proximity to the city’s central area.
  • 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_69e8a78d80448190a93ca0ebfbd7e3a4 completed April 22, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:38 p.m.