Triple
T20399394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Research |
E500290
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Microsoft Research Montreal |
—
|
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: Microsoft Research Montreal | Statement: [Microsoft Research, hasPart, Microsoft Research Montreal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Research Montreal Context triple: [Microsoft Research, hasPart, Microsoft Research Montreal]
-
A.
Microsoft Research Cambridge
Microsoft Research Cambridge is a leading European research laboratory of Microsoft focused on advancing computer science and related fields through fundamental and applied research.
-
B.
Microsoft Research Asia
Microsoft Research Asia is a leading research division of Microsoft based in the Asia-Pacific region, known for its influential work in computer science and artificial intelligence.
-
C.
Microsoft Research
Microsoft Research is the research division of Microsoft, dedicated to advancing computer science and related fields through fundamental and applied research.
-
D.
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
E.
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.
- 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: Microsoft Research Montreal Target entity description: Microsoft Research Montreal is a Microsoft research lab in Canada focused primarily on advancing artificial intelligence and machine learning.
-
A.
Microsoft Research Cambridge
Microsoft Research Cambridge is a leading European research laboratory of Microsoft focused on advancing computer science and related fields through fundamental and applied research.
-
B.
Microsoft Research Asia
Microsoft Research Asia is a leading research division of Microsoft based in the Asia-Pacific region, known for its influential work in computer science and artificial intelligence.
-
C.
Microsoft Research
Microsoft Research is the research division of Microsoft, dedicated to advancing computer science and related fields through fundamental and applied research.
-
D.
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
E.
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.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798cf04481909f183c4c75fe6d52 |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.