Triple
T23910393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSLV-I |
E601922
|
entity |
| Predicate | firstStageOrigin |
P154333
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [KSLV-I, firstStageOrigin, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStageOrigin Context triple: [KSLV-I, firstStageOrigin, Russia]
-
A.
firstStageEngineOrigin
Indicates the place or source from which the first-stage engine of a launch vehicle or rocket originates or is produced.
-
B.
firstStageHost
Indicates that an entity serves as the initial host in a multi-stage process or lifecycle involving another entity.
-
C.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
D.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
E.
initialStage
Indicates that one entity represents the first or starting phase in a sequence, process, or development of another entity.
- F. None of above. chosen
Provenance (4 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce94f65c8190807723344fa0b837 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:38 p.m.