Triple
T9838285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baidu |
E239156
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Baidu Research |
E239156
|
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: Baidu Research | Statement: [Baidu, hasDivision, Baidu Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baidu Research Context triple: [Baidu, hasDivision, Baidu Research]
-
A.
Google Research
Google Research is the research division of Google focused on advancing the state of the art in computer science and artificial intelligence through fundamental and applied research.
-
B.
Baidu
chosen
Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
-
C.
IBM China Development Laboratory
IBM China Development Laboratory is a major IBM research and development center in China focused on creating and enhancing software products and technologies for global markets.
-
D.
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.
-
E.
Tsinghua-Berkeley Shenzhen Institute
The Tsinghua-Berkeley Shenzhen Institute is a joint research and education institute established by Tsinghua University and the University of California, Berkeley in Shenzhen to foster interdisciplinary innovation and international collaboration.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34921b881909836ba0f5b42a27b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d145ac8190ad10a4328216ef54 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.