Triple
T36514432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz 3 |
E899997
|
entity |
| Predicate | isUncrewedCompanionMission |
P105527
|
FINISHED |
| Object | Soyuz 2 |
—
|
NE NERFINISHED |
How this triple was built (2 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: Soyuz 2 | Statement: [Soyuz 3, isUncrewedCompanionMission, Soyuz 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUncrewedCompanionMission Context triple: [Soyuz 3, isUncrewedCompanionMission, Soyuz 2]
-
A.
isUncrewed
Indicates that an object, vehicle, or mission operates without any human crew physically on board.
-
B.
isTargetOfMission
Indicates that an entity is the intended objective or focus of a particular mission or operation.
-
C.
containsMission
Indicates that one entity includes or encompasses a mission as part of its contents, scope, or responsibilities.
-
D.
isUncrewedVariantOf
chosen
Indicates that one entity is an uncrewed (unmanned) version or model derived from another, typically crewed, entity.
-
E.
partOfMission
Indicates that one entity is a component, phase, or element belonging to or included within a larger mission.
- F. None of above.
Provenance (3 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.