Triple
T15131672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSDI |
E361434
|
entity |
| Predicate | relatedConference |
P3308
|
FINISHED |
| Object | EuroSys |
E73926
|
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: EuroSys | Statement: [OSDI, relatedConference, EuroSys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EuroSys Context triple: [OSDI, relatedConference, EuroSys]
-
A.
EuroSys
chosen
EuroSys is a leading European conference focused on computer systems research, covering topics such as operating systems, distributed systems, and systems security.
-
B.
SOSP
SOSP (Symposium on Operating Systems Principles) is a premier academic conference focused on cutting-edge research in operating systems and related areas of computer systems.
-
C.
PPoPP
PPoPP is a leading ACM conference focused on principles and practice of parallel programming, covering research in parallel architectures, languages, compilers, and runtime systems.
-
D.
OSDI
OSDI (Operating Systems Design and Implementation) is a premier academic conference focused on cutting-edge research in operating systems and related systems software.
-
E.
OSDI
OSDI is the ICAO airport code for Damascus International Airport, the main international gateway serving Syria’s capital city.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.