Triple
T11763165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staatliche Kunstsammlungen Dresden |
E279704
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SKD
SKD is the abbreviation for the Staatliche Kunstsammlungen Dresden, one of the most renowned museum complexes in Germany, housing extensive art and cultural history collections.
|
E943912
|
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: SKD | Statement: [Staatliche Kunstsammlungen Dresden, shortName, SKD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKD Context triple: [Staatliche Kunstsammlungen Dresden, shortName, SKD]
-
A.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
B.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
-
C.
SKW
SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
-
D.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
E.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
- 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: SKD Triple: [Staatliche Kunstsammlungen Dresden, shortName, SKD]
Generated description
SKD is the abbreviation for the Staatliche Kunstsammlungen Dresden, one of the most renowned museum complexes in Germany, housing extensive art and cultural history collections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKD Target entity description: SKD is the abbreviation for the Staatliche Kunstsammlungen Dresden, one of the most renowned museum complexes in Germany, housing extensive art and cultural history collections.
-
A.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
B.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
-
C.
SKW
SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
-
D.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
E.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05b04d7248190b8ec4be4f2c3e388 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.