Triple
T2430871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Art of the National University of Colombia |
E52839
|
entity |
| Predicate | roleWithinUniversity |
P29025
|
FINISHED |
| Object | cultural space |
—
|
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: cultural space | Statement: [Museum of Art of the National University of Colombia, roleWithinUniversity, cultural space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinUniversity Context triple: [Museum of Art of the National University of Colombia, roleWithinUniversity, cultural space]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
-
C.
universitySectionOf
chosen
Indicates that one entity is a specific section, division, or part within a larger university.
-
D.
partOfCollegeGroup
Indicates that an entity belongs to or is a member of a specific group within a college.
-
E.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.