Triple

T15767472
Position Surface form Disambiguated ID Type / Status
Subject University of Comillas (teacher training) E382261 entity
Predicate educationalLevelTargeted P97458 FINISHED
Object early childhood 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: early childhood | Statement: [University of Comillas (teacher training), educationalLevelTargeted, early childhood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalLevelTargeted
Context triple: [University of Comillas (teacher training), educationalLevelTargeted, early childhood]
  • A. educationLevelsCovered chosen
    Indicates the range or specific levels of education that are included or addressed by something (such as a program, policy, or resource).
  • B. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. educationLevelCharacteristic
    Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
  • D. governsLevelOfEducation
    Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
  • E. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.