Triple

T18477739
Position Surface form Disambiguated ID Type / Status
Subject Makati Avenue E451475 entity
Predicate hasLandmark P105 FINISHED
Object Glorietta area 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 area | Statement: [Makati Avenue, hasLandmark, Glorietta area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glorietta area
Context triple: [Makati Avenue, hasLandmark, Glorietta area]
  • 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. Mendiola area
    The Mendiola area is a district in Manila, Philippines, known for its proximity to Malacañang Palace and frequent student demonstrations and political protests.
  • C. 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.
  • 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. EDSA–Guadalupe area
    The EDSA–Guadalupe area is a busy urban corridor in Metro Manila known for its heavy traffic, dense commercial development, and role as a major transport hub along Epifanio de los Santos Avenue.
  • 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_69e53064a7548190b712a14ad0c7a477 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.