Triple
T1077643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP TSG SA |
E23873
|
entity |
| Predicate | hasWorkingGroup |
P1382
|
FINISHED |
| Object |
SA4
SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
|
E129976
|
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: SA4 | Statement: [3GPP TSG SA, hasWorkingGroup, SA4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SA4 Context triple: [3GPP TSG SA, hasWorkingGroup, SA4]
-
A.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
B.
SA2
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
-
C.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
-
D.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
E.
SAS-4
SAS-4 is the fourth-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer speeds and bandwidth for enterprise storage systems.
- 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: SA4 Triple: [3GPP TSG SA, hasWorkingGroup, SA4]
Generated description
SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SA4 Target entity description: SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
-
A.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
B.
SA2
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
-
C.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
-
D.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
E.
SAS-4
SAS-4 is the fourth-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer speeds and bandwidth for enterprise storage systems.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94288d88190aae4fb86236c0702 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac599e543c8190bbb0558379d8d9d5 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a1fd5448190a72354c1017dfcf4 |
completed | March 7, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5a76e99c8190be49b80e31088693 |
completed | March 7, 2026, 5:03 p.m. |
Created at: March 1, 2026, 7:42 p.m.