Triple
T12368268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGBED |
E294927
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SIGBED |
E294927
|
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: SIGBED | Statement: [SIGBED, abbreviation, SIGBED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIGBED Context triple: [SIGBED, abbreviation, SIGBED]
-
A.
SIGBED
chosen
SIGBED is the ACM Special Interest Group on Embedded Systems, focusing on research, education, and professional activities related to embedded and cyber-physical systems.
-
B.
SIGBED Review
SIGBED Review is the official online newsletter and publication of ACM SIGBED, featuring articles, reports, and community news on embedded systems research and practice.
-
C.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
D.
SBME
SBME is the ICAO airport code for the main airport serving Macaé, a coastal city in the state of Rio de Janeiro, Brazil.
-
E.
NPSG
NPSG is the commonly used abbreviation for the National Patient Safety Goals, a set of standards established to improve patient safety in healthcare organizations.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abdad1c8190b083791d60138f2a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.