Triple
T22781271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiangnan University |
E563841
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object | School of Chemical and Material Engineering |
—
|
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: School of Chemical and Material Engineering | Statement: [Jiangnan University, hasSchool, School of Chemical and Material Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Chemical and Material Engineering Context triple: [Jiangnan University, hasSchool, School of Chemical and Material Engineering]
-
A.
School of Chemical Engineering
The School of Chemical Engineering is a specialized academic unit of East China University of Science and Technology focused on education and research in chemical engineering and related disciplines.
-
B.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit specializing in chemical engineering education and research within Hanoi University of Science and Technology.
-
C.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit of Nanjing University of Science and Technology specializing in education and research in chemical engineering and related disciplines.
-
D.
School of Chemical Engineering
The School of Chemical Engineering at the University of Tehran is a leading academic and research institution in Iran specializing in chemical engineering education, innovation, and industry collaboration.
-
E.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit of the National Technical University of Athens specializing in education and research in chemical engineering and related fields.
- 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: School of Chemical and Material Engineering Target entity description: The School of Chemical and Material Engineering is an academic unit of Jiangnan University specializing in education and research in chemical engineering and materials science.
-
A.
School of Chemical Engineering
The School of Chemical Engineering is a specialized academic unit of East China University of Science and Technology focused on education and research in chemical engineering and related disciplines.
-
B.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit of Nanjing University of Science and Technology specializing in education and research in chemical engineering and related disciplines.
-
C.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit specializing in chemical engineering education and research within Hanoi University of Science and Technology.
-
D.
School of Chemical Engineering
The School of Chemical Engineering at the University of Tehran is a leading academic and research institution in Iran specializing in chemical engineering education, innovation, and industry collaboration.
-
E.
School of Chemical Engineering
The School of Chemical Engineering is an academic unit of the National Technical University of Athens specializing in education and research in chemical engineering and related fields.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2dd250819093a5c49806916ec4 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:28 p.m.