Triple
T12367697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scalable Adaptive Multicast Research Group |
E294914
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAMRG
SAMRG is a research group focused on developing scalable, adaptive multicast technologies and protocols for efficient group communication over networks.
|
E978985
|
NE FINISHED |
How this triple was built (4 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: SAMRG | Statement: [Scalable Adaptive Multicast Research Group, abbreviation, SAMRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAMRG Context triple: [Scalable Adaptive Multicast Research Group, abbreviation, SAMRG]
-
A.
SRG
SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
-
B.
SRM
SRM is the commonly used abbreviation for the Sikh Rehat Maryada, the official code of conduct and conventions for Sikhs.
-
C.
SAHR
SAHR is an automotive safety system developed by Saab that automatically moves the head restraint forward and upward during a rear-end collision to reduce the risk of whiplash injuries.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
SA group
The SA group was a major regional command unit of Nazi Germany’s Sturmabteilung (SA), overseeing and coordinating the activities of subordinate brigades and local formations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SAMRG Triple: [Scalable Adaptive Multicast Research Group, abbreviation, SAMRG]
Generated description
SAMRG is a research group focused on developing scalable, adaptive multicast technologies and protocols for efficient group communication over networks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAMRG Target entity description: SAMRG is a research group focused on developing scalable, adaptive multicast technologies and protocols for efficient group communication over networks.
-
A.
SRG
SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
-
B.
SRM
SRM is the commonly used abbreviation for the Sikh Rehat Maryada, the official code of conduct and conventions for Sikhs.
-
C.
SAHR
SAHR is an automotive safety system developed by Saab that automatically moves the head restraint forward and upward during a rear-end collision to reduce the risk of whiplash injuries.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
SA group
The SA group was a major regional command unit of Nazi Germany’s Sturmabteilung (SA), overseeing and coordinating the activities of subordinate brigades and local formations.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f62be4de888190aac94d441748d295 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:54 p.m.