Triple
T122429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIG |
E2477
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | ACM SIGSOFT |
E14236
|
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 SIGSOFT | Statement: [SIG, associatedWith, ACM SIGSOFT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM SIGSOFT Context triple: [SIG, associatedWith, ACM SIGSOFT]
-
A.
SIGSOFT
chosen
SIGSOFT is the ACM Special Interest Group on Software Engineering, focusing on advancing research, education, and practice in software engineering.
-
B.
International Conference on Software Engineering
The International Conference on Software Engineering is a premier annual academic and industry forum for presenting and discussing cutting-edge research, practices, and innovations in software engineering.
-
C.
SIGCSE
SIGCSE is a leading ACM special interest group focused on computer science education, supporting educators through conferences, publications, and community initiatives.
-
D.
SIGPLAN
SIGPLAN is the ACM Special Interest Group on Programming Languages, focusing on research, development, and education in programming language design and implementation.
-
E.
IEEE Software
IEEE Software is a bimonthly peer-reviewed magazine that focuses on software engineering practice, bridging academic research and industry application for software professionals.
- 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_69a2b01662f88190a4997a3e86c17946 |
completed | Feb. 28, 2026, 9:06 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.