Triple

T18515613
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt E452452 entity
Predicate near P350 FINISHED
Object Ayala Avenue 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: Ayala Avenue | Statement: [Greenbelt, near, Ayala Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayala Avenue
Context triple: [Greenbelt, near, Ayala Avenue]
  • A. Ayala Avenue chosen
    Ayala Avenue is a major commercial thoroughfare in Makati, Metro Manila, known as the heart of the Philippines’ central business district.
  • B. Ayala Boulevard
    Ayala Boulevard is a major thoroughfare in Manila, Philippines, that serves as an important connector between key government, commercial, and educational districts in the city.
  • C. Roxas Boulevard
    Roxas Boulevard is a major seaside thoroughfare in Metro Manila, Philippines, famed for its sunset views along Manila Bay and its stretch of hotels, government buildings, and cultural landmarks.
  • D. Ortigas Avenue
    Ortigas Avenue is a major thoroughfare in Metro Manila, Philippines, connecting key business districts and residential areas, including the Ortigas Center commercial hub.
  • E. Quezon Avenue
    Quezon Avenue is a major thoroughfare in Metro Manila, Philippines, known for connecting key commercial, government, and residential areas within Quezon City.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338a628c81909db08ae7dc94f59a completed April 19, 2026, 7:56 p.m.
Created at: April 10, 2026, 11:36 a.m.