Triple
T17788795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang University |
E444094
|
entity |
| Predicate | hasFacultyType |
P2464
|
FINISHED |
| Object | School of Life 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: School of Life Sciences | Statement: [Nanchang University, hasFacultyType, School of Life Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Life Sciences Context triple: [Nanchang University, hasFacultyType, School of Life Sciences]
-
A.
School of Life Sciences
The School of Life Sciences is an academic division of Sun Yat-sen University dedicated to education and research in biological and life sciences.
-
B.
School of Life Sciences
The School of Life Sciences is an academic unit specializing in biological and life science education and research within Anglia Ruskin University’s Faculty of Science and Engineering.
-
C.
School of Life Sciences
The School of Life Sciences is an academic unit at the University of Technology Sydney focused on teaching and research in biological and environmental sciences.
-
D.
School of Life Sciences
The School of Life Sciences is an academic division of Pondicherry University dedicated to teaching and research in biological and life science disciplines.
-
E.
School of Life Sciences
The School of Life Sciences at Lanzhou University is an academic faculty dedicated to education and research in biological and life sciences disciplines.
- 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 Life Sciences Target entity description: The School of Life Sciences is an academic faculty at Nanchang University focused on education and research in biological and life science disciplines.
-
A.
School of Life Sciences
The School of Life Sciences is an academic faculty at Northwest Normal University specializing in biological and life science education and research.
-
B.
School of Life Sciences
The School of Life Sciences at Nanjing University is a major academic unit focused on biological and life science research and education.
-
C.
School of Life Sciences
The School of Life Sciences is an academic division of Sun Yat-sen University dedicated to education and research in biological and life sciences.
-
D.
School of Life Sciences
The School of Life Sciences is a major academic unit of the University of Science and Technology of China dedicated to education and research in biological and life sciences.
-
E.
School of Life Sciences
The School of Life Sciences is an academic department at the University of Nottingham that focuses on teaching and research in biological and biomedical 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879524bc819090855ab5248c73db |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.