Triple
T7186002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universidad Pedagógica y Tecnológica de Colombia |
E167572
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UPTC
UPTC is a major Colombian public university known for its strong focus on teacher education, science, and technology.
|
E646951
|
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: UPTC | Statement: [Universidad Pedagógica y Tecnológica de Colombia, shortName, UPTC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPTC Context triple: [Universidad Pedagógica y Tecnológica de Colombia, shortName, UPTC]
-
A.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
B.
UNITEC
UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
-
C.
UPPT
UPPT is an acronym commonly used to refer to the Uniformed Personnel Performance Team, a group focused on assessing and enhancing the effectiveness of uniformed staff.
-
D.
UNT
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
-
E.
UCT
UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
- 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: UPTC Triple: [Universidad Pedagógica y Tecnológica de Colombia, shortName, UPTC]
Generated description
UPTC is a major Colombian public university known for its strong focus on teacher education, science, and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPTC Target entity description: UPTC is a major Colombian public university known for its strong focus on teacher education, science, and technology.
-
A.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
B.
UNITEC
UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
-
C.
UPPT
UPPT is an acronym commonly used to refer to the Uniformed Personnel Performance Team, a group focused on assessing and enhancing the effectiveness of uniformed staff.
-
D.
UNT
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
-
E.
UCT
UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e0f2f48190a4ddf8637f556934 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b950f90c81908391a96071594ea6 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9d4d9e081908abc7841371c291b |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba7c7ac88190b16ba217cdc12325 |
completed | March 28, 2026, 11:24 a.m. |
Created at: March 27, 2026, 2:49 p.m.