Triple

T2516841
Position Surface form Disambiguated ID Type / Status
Subject Secretariat of Public Education (Mexico) E55431 entity
Predicate shortName P43 FINISHED
Object SEP
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
E275901 NE FINISHED

How this triple was built (4 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: SEP | Statement: [Secretariat of Public Education (Mexico), shortName, SEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEP
Context triple: [Secretariat of Public Education (Mexico), shortName, SEP]
  • A. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • B. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • C. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • D. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SEP
Triple: [Secretariat of Public Education (Mexico), shortName, SEP]
Generated description
SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SEP
Target entity description: SEP is the Mexican federal government department responsible for overseeing and regulating the national education system.
  • A. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • B. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • C. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • D. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • F. None of above. chosen

Provenance (5 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20f8d0c8190bfdcb99a12f59d59 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b9aa5cc81908c2e09ce18f2e98e completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af508c28f48190afc4aa1bc3c9adf3 completed March 9, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69af5155f85081908dd4a1859d0f7907 completed March 9, 2026, 11:01 p.m.
Created at: March 6, 2026, 9:46 p.m.