Triple

T11613237
Position Surface form Disambiguated ID Type / Status
Subject Epifanio de los Santos E275436 entity
Predicate placeOfBirth P1 FINISHED
Object Malabon E221038 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: Malabon | Statement: [Epifanio de los Santos, placeOfBirth, Malabon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malabon
Context triple: [Epifanio de los Santos, placeOfBirth, Malabon]
  • A. Malabon chosen
    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.
  • B. Mandaluyong
    Mandaluyong is a highly urbanized city in the Philippines known as part of Metro Manila’s central business and commercial district.
  • C. Taguig
    Taguig is a highly urbanized city in Metro Manila in the Philippines, known for the Bonifacio Global City (BGC) business district and rapid commercial and residential development.
  • D. Lungsod ng Pasig
    Lungsod ng Pasig is a highly urbanized city in Metro Manila, Philippines, known as a major commercial and residential center that includes the Ortigas Center business district.
  • E. Santa Mesa, Manila
    Santa Mesa, Manila is a primarily residential and commercial district in the eastern part of Manila, Philippines, known for its dense urban neighborhoods and proximity to major roads and educational institutions.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a044a3088190b92f4674c2d0b443 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee872ee03481908a9d779a44ec5236 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:38 p.m.