Triple

T276566
Position Surface form Disambiguated ID Type / Status
Subject Tagalog E5261 entity
Predicate usedInEducationLevel P177 FINISHED
Object primary education in the Philippines (via Filipino) LITERAL 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: primary education in the Philippines (via Filipino) | Statement: [Tagalog, usedInEducationLevel, primary education in the Philippines (via Filipino)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInEducationLevel
Context triple: [Tagalog, usedInEducationLevel, primary education in the Philippines (via Filipino)]
  • A. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • B. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • C. servesGradeLevels
    Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
  • D. educatedIn
    Indicates that an entity received education or formal training at a specified institution or place.
  • E. containsEducationalInstitution
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • F. None of above.

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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b7480e881909399beccfc7ffb81 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.