Triple
T12271483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz-Fregat |
E292480
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
TsSKB-Progress
TsSKB-Progress is a major Russian aerospace manufacturer best known for designing and producing Soyuz launch vehicles and other spaceflight hardware.
|
E975813
|
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: TsSKB-Progress | Statement: [Soyuz-Fregat, manufacturer, TsSKB-Progress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TsSKB-Progress Context triple: [Soyuz-Fregat, manufacturer, TsSKB-Progress]
-
A.
TSK
TSK is the abbreviation for the Turkish Armed Forces, the military organization responsible for the defense and security of Turkey.
-
B.
TSK
TSK is the vehicle registration code assigned to the city of Skarżysko-Kamienna in Poland.
-
C.
Progress-MS
Progress-MS is a modernized Russian uncrewed cargo spacecraft variant used to resupply the International Space Station with improved avionics, communications, and safety features over earlier Progress models.
-
D.
VSKP
VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
-
E.
TsKBEM
TsKBEM was a major Soviet space design bureau that led the development of crewed spacecraft and space stations during the height of the space race.
- 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: TsSKB-Progress Triple: [Soyuz-Fregat, manufacturer, TsSKB-Progress]
Generated description
TsSKB-Progress is a major Russian aerospace manufacturer best known for designing and producing Soyuz launch vehicles and other spaceflight hardware.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TsSKB-Progress Target entity description: TsSKB-Progress is a major Russian aerospace manufacturer best known for designing and producing Soyuz launch vehicles and other spaceflight hardware.
-
A.
TSK
TSK is the abbreviation for the Turkish Armed Forces, the military organization responsible for the defense and security of Turkey.
-
B.
TSK
TSK is the vehicle registration code assigned to the city of Skarżysko-Kamienna in Poland.
-
C.
Progress-MS
Progress-MS is a modernized Russian uncrewed cargo spacecraft variant used to resupply the International Space Station with improved avionics, communications, and safety features over earlier Progress models.
-
D.
VSKP
VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, India.
-
E.
TsKBEM
TsKBEM was a major Soviet space design bureau that led the development of crewed spacecraft and space stations during the height of the space race.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6981b48190a0fc5a571c425be1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622de74f0819096c5f5bf6f938fe7 |
completed | May 2, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62379746c8190bc9da48775b86dfa |
completed | May 2, 2026, 4:16 p.m. |
Created at: April 8, 2026, 9:52 p.m.