Triple
T22995560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Pernambuco campus |
E572177
|
entity |
| Predicate | tertiaryLevelOfEducation |
P177
|
FINISHED |
| Object | postgraduate |
—
|
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: postgraduate | Statement: [Federal University of Pernambuco campus, tertiaryLevelOfEducation, postgraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tertiaryLevelOfEducation Context triple: [Federal University of Pernambuco campus, tertiaryLevelOfEducation, postgraduate]
-
A.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
C.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
D.
upperSecondaryEducationName
Indicates the specific name or title of a person's upper secondary level education program or qualification.
-
E.
primaryCollege
Indicates that one college is the main or principal college associated with a given entity (such as a person or program), as opposed to any secondary or affiliated colleges.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f25af48190a98b7baeec824ae6 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.