Triple
T20237947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Paraná |
E498201
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Agrarian Sciences |
—
|
NE NERFINISHED |
How this triple was built (3 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: Faculty of Agrarian Sciences | Statement: [Federal University of Paraná, hasFaculty, Faculty of Agrarian Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Agrarian Sciences Context triple: [Federal University of Paraná, hasFaculty, Faculty of Agrarian Sciences]
-
A.
Faculty of Agronomic Sciences
The Faculty of Agronomic Sciences is an academic division of the University of Kinshasa specializing in education and research in agriculture and related agronomic disciplines.
-
B.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Central University of Venezuela dedicated to education and research in agricultural sciences and related fields.
-
C.
Faculty of Agronomy
The Faculty of Agronomy is an academic division specializing in crop science, soil management, and agricultural production within the Azerbaijan State Agricultural University.
-
D.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Universidad de San Carlos de Guatemala dedicated to education and research in agricultural and environmental sciences.
-
E.
Faculty of Agronomy
The Faculty of Agronomy is an academic division specializing in agricultural sciences, crop production, and related research and training.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Agrarian Sciences Target entity description: The Faculty of Agrarian Sciences is an academic unit of the Federal University of Paraná dedicated to education and research in agriculture, livestock, and related agrarian fields.
-
A.
Faculty of Agronomic Sciences
The Faculty of Agronomic Sciences is an academic division of the University of Kinshasa specializing in education and research in agriculture and related agronomic disciplines.
-
B.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Central University of Venezuela dedicated to education and research in agricultural sciences and related fields.
-
C.
Faculty of Agronomy
The Faculty of Agronomy is an academic division specializing in crop science, soil management, and agricultural production within the Azerbaijan State Agricultural University.
-
D.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Federal University of Rio Grande do Sul dedicated to education and research in agricultural sciences and related fields.
-
E.
Faculty of Agronomy
The Faculty of Agronomy is an academic unit of the Universidad de San Carlos de Guatemala dedicated to education and research in agricultural and environmental sciences.
- F. None of above. chosen
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.