Triple

T4907409
Position Surface form Disambiguated ID Type / Status
Subject Colegio de Postgraduados E109945 entity
Predicate shortName P43 FINISHED
Object Colpos
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
E479896 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: Colpos | Statement: [Colegio de Postgraduados, shortName, Colpos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colpos
Context triple: [Colegio de Postgraduados, shortName, Colpos]
  • A. Ovar
    Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
  • B. CIN
    CIN is the common abbreviation used for the former NBA franchise known as the Cincinnati Royals.
  • C. Catamenia
    Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
  • D. de Graaf
    De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
  • E. Blonde Venus
    Blonde Venus is a 1932 pre-Code Hollywood drama film starring Marlene Dietrich as a nightclub singer whose life unravels amid love, sacrifice, and scandal.
  • 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: Colpos
Triple: [Colegio de Postgraduados, shortName, Colpos]
Generated description
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colpos
Target entity description: Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
  • A. Ovar
    Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
  • B. CIN
    CIN is the common abbreviation used for the former NBA franchise known as the Cincinnati Royals.
  • C. Catamenia
    Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
  • D. Naboth
    Naboth is a biblical figure in the Old Testament whose unjust execution, orchestrated by Queen Jezebel so King Ahab could seize his vineyard, exemplifies the abuse of royal power and legal corruption.
  • E. de Graaf
    De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e7452d481909078a0027e2a4566 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fdd89588190ae9c8de779d89aaf completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be73ee7d188190a15b910a4b778bee completed March 21, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69be742e6e1c8190872179b61a1ed26b completed March 21, 2026, 10:34 a.m.
Created at: March 20, 2026, 1:29 p.m.