Triple

T10501337
Position Surface form Disambiguated ID Type / Status
Subject Plaza San Lorenzo Ruiz E247678 entity
Predicate isInDistrict P16988 FINISHED
Object Binondo district E49336 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: Binondo district | Statement: [Plaza San Lorenzo Ruiz, isInDistrict, Binondo district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binondo district
Context triple: [Plaza San Lorenzo Ruiz, isInDistrict, Binondo district]
  • A. Binondo chosen
    Binondo is Manila’s historic Chinatown, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and Chinese-Filipino heritage.
  • B. 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.
  • C. Central Bicutan
    Central Bicutan is a barangay (administrative district) located within the city of Taguig in Metro Manila, Philippines.
  • 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. Western Bicutan
    Western Bicutan is a barangay in the highly urbanized city of Taguig in Metro Manila, Philippines, known for its mixed residential, commercial, and institutional 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099b797c8190a94803fa94eb6981 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b0d05a88190be036a6e4ab374a7 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:25 p.m.