Triple
T122421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIG |
E2477
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | ACM SIGPLAN |
E13731
|
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: ACM SIGPLAN | Statement: [SIG, associatedWith, ACM SIGPLAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGPLAN Context triple: [SIG, associatedWith, ACM SIGPLAN]
-
A.
SIGPLAN
chosen
SIGPLAN is the ACM Special Interest Group on Programming Languages, focusing on research, development, and education in programming language design and implementation.
-
B.
SIGCSE
SIGCSE is a leading ACM special interest group focused on computer science education, supporting educators through conferences, publications, and community initiatives.
-
C.
ACM SIGLOG
ACM SIGLOG is the Association for Computing Machinery’s Special Interest Group on Logic, focusing on research and activities in logic in computer science.
-
D.
ACM Computing Surveys
ACM Computing Surveys is a leading peer-reviewed journal that publishes comprehensive, in-depth survey articles covering major areas of computer science and computing research.
-
E.
Journal of the ACM
Journal of the ACM is a leading peer-reviewed scientific journal in computer science that publishes foundational research across the breadth of computing theory and practice.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa453a8c81908d6d4d14aff8522e |
completed | Feb. 28, 2026, 8:41 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.