Triple
T13528812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progress-M1 |
E323079
|
entity |
| Predicate | rendezvousSystem |
P110704
|
FINISHED |
| Object |
Kurs
Kurs is a Russian automated docking and rendezvous system used to guide spacecraft in approaching and docking with orbital stations like Mir and the International Space Station.
|
E1044073
|
NE FINISHED |
How this triple was built (5 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: Kurs | Statement: [Progress-M1, rendezvousSystem, Kurs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurs Context triple: [Progress-M1, rendezvousSystem, Kurs]
-
A.
Corsi
Corsi is the native name used by Corsicans to refer to themselves as a people.
-
B.
Klassen
Klassen is a surname most notably associated with Canadian speed skater and Olympic medalist Cindy Klassen.
-
C.
Lesson
Lesson is a French surname most notably borne by René Primevère Lesson, a 19th-century French surgeon, naturalist, and explorer.
-
D.
Kurstin
Kurstin is the surname of Greg Kurstin, a prominent American record producer, songwriter, and multi-instrumentalist known for his work with major pop and rock artists.
-
E.
Lessons
Lessons is a 2022 novel by Ian McEwan that follows a man's life across decades of personal and historical upheaval, exploring memory, trauma, and the passage of time.
- 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: Kurs Triple: [Progress-M1, rendezvousSystem, Kurs]
Generated description
Kurs is a Russian automated docking and rendezvous system used to guide spacecraft in approaching and docking with orbital stations like Mir and the International Space Station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurs Target entity description: Kurs is a Russian automated docking and rendezvous system used to guide spacecraft in approaching and docking with orbital stations like Mir and the International Space Station.
-
A.
Corsi
Corsi is the native name used by Corsicans to refer to themselves as a people.
-
B.
Klassen
Klassen is a surname most notably associated with Canadian speed skater and Olympic medalist Cindy Klassen.
-
C.
Lesson
Lesson is a French surname most notably borne by René Primevère Lesson, a 19th-century French surgeon, naturalist, and explorer.
-
D.
Kurstin
Kurstin is the surname of Greg Kurstin, a prominent American record producer, songwriter, and multi-instrumentalist known for his work with major pop and rock artists.
-
E.
Lessons
Lessons is a 2022 novel by Ian McEwan that follows a man's life across decades of personal and historical upheaval, exploring memory, trauma, and the passage of time.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousSystem Context triple: [Progress-M1, rendezvousSystem, Kurs]
-
A.
rendezvousTarget
Indicates that one entity is designated as the meeting or rendezvous point for another entity.
-
B.
rendezvousType
Indicates the specific kind or category of meeting or rendezvous that occurs between entities.
-
C.
rendezvousCapability
Indicates the ability of one entity to meet or dock with another entity at a planned place and time.
-
D.
rendezvousWith
Indicates that two or more entities meet or come together at an agreed place and time, often for a specific purpose.
-
E.
rendezvousProfile
Indicates a relationship where entities coordinate to meet at a specific place and time, often under predefined conditions or plans.
- F. None of above. chosen
Provenance (7 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f755521abc8190baabcec69e80d554 |
completed | May 3, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.