Triple
T21217166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana University–Purdue University Indianapolis |
E522865
|
entity |
| Predicate | hasCollege |
P113
|
FINISHED |
| Object | School of Informatics and Computing |
—
|
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 Informatics and Computing | Statement: [Indiana University–Purdue University Indianapolis, hasCollege, School of Informatics and Computing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Informatics and Computing Context triple: [Indiana University–Purdue University Indianapolis, hasCollege, School of Informatics and Computing]
-
A.
School of Informatics
The School of Informatics is an academic faculty of the Polytechnic University of Valencia (UPV) specializing in computer science, information technology, and related disciplines.
-
B.
School of Informatics
The School of Informatics at Nagoya University is an academic division specializing in research and education in information science, computing, and related interdisciplinary fields.
-
C.
School of Computing and Information Science
The School of Computing and Information Science is an academic unit at Anglia Ruskin University specializing in teaching and research in computer science, information systems, and related digital technologies.
-
D.
School of Computing
The School of Computing at the University of Utah is an academic unit focused on education and research in computer science and related computational disciplines.
-
E.
School of Computing
The School of Computing is a specialized academic division of the Tokyo Institute of Technology focused on education and research in computer science and related information technologies.
- 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 Informatics and Computing Target entity description: The School of Informatics and Computing is an academic unit specializing in informatics, computer science, and related information technologies at Indiana University–Purdue University Indianapolis.
-
A.
School of Informatics
The School of Informatics is an academic faculty of the Polytechnic University of Valencia (UPV) specializing in computer science, information technology, and related disciplines.
-
B.
School of Informatics
The School of Informatics at Nagoya University is an academic division specializing in research and education in information science, computing, and related interdisciplinary fields.
-
C.
School of Computing and Information Science
The School of Computing and Information Science is an academic unit at Anglia Ruskin University specializing in teaching and research in computer science, information systems, and related digital technologies.
-
D.
School of Computing
The School of Computing at the University of Utah is an academic unit focused on education and research in computer science and related computational disciplines.
-
E.
School of Computing
The School of Computing at the University of Kent is an academic department specializing in computer science education and research.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734744dcc81908b3065adc93b4b98 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:41 p.m.