Triple
T4002040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Support Service (Germany) |
E89435
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
|
E407236
|
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: SKB | Statement: [Joint Support Service (Germany), abbreviation, SKB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKB Context triple: [Joint Support Service (Germany), abbreviation, SKB]
-
A.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
B.
SKBO
SKBO is the ICAO airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
C.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
D.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
-
E.
SK
SK is the IATA airline designator used worldwide to identify Scandinavian Airlines on tickets, timetables, and flight 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: SKB Triple: [Joint Support Service (Germany), abbreviation, SKB]
Generated description
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKB Target entity description: SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
-
A.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
B.
SKBO
SKBO is the ICAO airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
C.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
D.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
-
E.
SK
SK is the IATA airline designator used worldwide to identify Scandinavian Airlines on tickets, timetables, and flight information 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa44125881909f45ecd0a986c581 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c5e95b88190a8b5234b18d7b769 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b5505592bc8190bedda7df9eef8fa7 |
completed | March 14, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b550e241048190aaa72504bc278c98 |
completed | March 14, 2026, 12:13 p.m. |
Created at: March 9, 2026, 3:34 p.m.