Triple
T12041474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre for Artificial Intelligence and Data Science |
E286669
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Centre for Artificial Intelligence and Data Science |
E286669
|
NE FINISHED |
How this triple was built (2 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: Centre for Artificial Intelligence and Data Science | Statement: [Centre for Artificial Intelligence and Data Science, name, Centre for Artificial Intelligence and Data Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Artificial Intelligence and Data Science Context triple: [Centre for Artificial Intelligence and Data Science, name, Centre for Artificial Intelligence and Data Science]
-
A.
Centre for Artificial Intelligence and Data Science
chosen
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
-
B.
Robert Bosch Centre for Data Science and Artificial Intelligence
The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
-
C.
Centre for Statistics and Data Science
The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
-
D.
School of Computing and Augmented Intelligence
The School of Computing and Augmented Intelligence is an academic unit specializing in computer science, artificial intelligence, and related computational disciplines within Arizona State University’s Ira A. Fulton Schools of Engineering.
-
E.
Institute of Smart Systems and Artificial Intelligence
The Institute of Smart Systems and Artificial Intelligence is a research center at Nazarbayev University focused on advancing artificial intelligence and intelligent systems technologies through interdisciplinary research and innovation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.