Triple
T19714017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soochow University |
E473425
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | School of Physical Science and Technology |
—
|
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 Physical Science and Technology | Statement: [Soochow University, hasFaculty, School of Physical Science and Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Physical Science and Technology Context triple: [Soochow University, hasFaculty, School of Physical Science and Technology]
-
A.
School of Physical Science and Technology
The School of Physical Science and Technology is a specialized academic unit of Lanzhou University focused on education and research in physics and related technological fields.
-
B.
College of Physical Science and Technology
The College of Physical Science and Technology is an academic unit of Southwest University specializing in education and research in physics and related physical sciences.
-
C.
School of Physics and Technology
The School of Physics and Technology is a major academic unit of Wuhan University specializing in physics education and research across fundamental and applied fields.
-
D.
School of Life Science and Technology
The School of Life Science and Technology is a specialized academic division of the Tokyo Institute of Technology focused on education and research in biological sciences, biotechnology, and related interdisciplinary fields.
-
E.
Faculty of Physics and Technology
The Faculty of Physics and Technology is an academic division of Donetsk National University specializing in education and research in physics and related technological 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 Physical Science and Technology Target entity description: The School of Physical Science and Technology is an academic division of Soochow University specializing in education and research in physics and related technological fields.
-
A.
School of Physical Science and Technology
The School of Physical Science and Technology is a specialized academic unit of Lanzhou University focused on education and research in physics and related technological fields.
-
B.
College of Physical Science and Technology
The College of Physical Science and Technology is an academic unit of Southwest University specializing in education and research in physics and related physical sciences.
-
C.
School of Physics and Technology
The School of Physics and Technology is a major academic unit of Wuhan University specializing in physics education and research across fundamental and applied fields.
-
D.
School of Life Science and Technology
The School of Life Science and Technology is a specialized academic division of the Tokyo Institute of Technology focused on education and research in biological sciences, biotechnology, and related interdisciplinary fields.
-
E.
Faculty of Physics and Technology
The Faculty of Physics and Technology is an academic division of Donetsk National University specializing in education and research in physics and related technological 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.