Triple

T17456652
Position Surface form Disambiguated ID Type / Status
Subject Booker T. Washington High School (Montgomery, Alabama) E425045 entity
Predicate studentDemographicHistorical P67966 FINISHED
Object African American students 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: African American students | Statement: [Booker T. Washington High School (Montgomery, Alabama), studentDemographicHistorical, African American students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studentDemographicHistorical
Context triple: [Booker T. Washington High School (Montgomery, Alabama), studentDemographicHistorical, African American students]
  • A. typicalStudentDemographic
    Indicates the usual or most common demographic group (e.g., age, background, characteristics) that students of a given institution, program, or course belong to.
  • B. studentPopulationLevel
    Indicates the relative size or magnitude of the student population associated with an entity.
  • C. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • D. studentEra
    Indicates a time period during which an individual holds the status or role of a student.
  • E. historicalPopulationCharacteristic chosen
    Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45142b08481908cdd290692d796c3 completed April 19, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69e3b4f0e3fc819094e466b74622c956 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:47 a.m.