Triple
T17990076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African Special Forces Brigade |
E430343
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SASF
SASF is the abbreviation for the South African Special Forces Brigade, an elite special operations unit of the South African National Defence Force.
|
E1299833
|
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: SASF | Statement: [South African Special Forces Brigade, abbreviation, SASF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SASF Context triple: [South African Special Forces Brigade, abbreviation, SASF]
-
A.
SFS
SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
-
B.
SFS
SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
-
C.
SFS
SFS is the common abbreviation for the Sioux Falls Stampede, a junior ice hockey team in the United States Hockey League based in Sioux Falls, South Dakota.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information 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: SASF Triple: [South African Special Forces Brigade, abbreviation, SASF]
Generated description
SASF is the abbreviation for the South African Special Forces Brigade, an elite special operations unit of the South African National Defence Force.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SASF Target entity description: SASF is the abbreviation for the South African Special Forces Brigade, an elite special operations unit of the South African National Defence Force.
-
A.
SFS
SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
-
B.
SFS
SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
-
C.
SFS
SFS is the common abbreviation for the Sioux Falls Stampede, a junior ice hockey team in the United States Hockey League based in Sioux Falls, South Dakota.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337acabd481909deced9a61d84ed3 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338cd02808190b650f59fc16bab0d |
completed | May 12, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 10, 2026, 10:23 a.m.