Triple
T35003450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyut 3 |
E1009746
|
entity |
| Predicate | coverNameInProgram |
P21109
|
FINISHED |
| Object | Salyut program |
—
|
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: Salyut program | Statement: [Salyut 3, coverNameInProgram, Salyut program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverNameInProgram Context triple: [Salyut 3, coverNameInProgram, Salyut program]
-
A.
coversProgram
Indicates that one entity provides coverage, support, or inclusion for a particular program, such as through insurance, funding, or service scope.
-
B.
hasCoverName
chosen
Indicates that one entity uses or is known by an alternative, often secret or assumed, name in relation to another entity or context.
-
C.
coverVersionTitle
Indicates that one creative work is a cover version of another and specifies the title used for that cover version.
-
D.
coversLabel
Indicates that one entity’s scope, content, or applicability includes or encompasses the label associated with another entity.
-
E.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:01 p.m.