Triple

T26967986
Position Surface form Disambiguated ID Type / Status
Subject Lobos de la BUAP E679224 entity
Predicate universityOwnership P39877 FINISHED
Object public university 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: public university | Statement: [Lobos de la BUAP, universityOwnership, public university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: universityOwnership
Context triple: [Lobos de la BUAP, universityOwnership, public university]
  • A. countryUniversity
    Indicates that a university is located in, or belongs to, a particular country.
  • B. hostUniversity
    Indicates that a university serves as the primary institution hosting, organizing, or providing the setting for a given entity or activity (such as a program, event, or affiliation).
  • C. universityOrganizationType chosen
    Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
  • D. universityCharacteristic
    Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
  • E. servesAsAlmaMaterOf
    Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 6:37 a.m.