Triple
T18274149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Rocket Module URM-1 |
E437689
|
entity |
| Predicate | numberOfModulesInAngaraA5FirstStage |
P66617
|
FINISHED |
| Object | 5 |
—
|
LITERAL FINISHED |
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: 5 | Statement: [Universal Rocket Module URM-1, numberOfModulesInAngaraA5FirstStage, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfModulesInAngaraA5FirstStage Context triple: [Universal Rocket Module URM-1, numberOfModulesInAngaraA5FirstStage, 5]
-
A.
numberOfFirstStageEngines
chosen
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
-
B.
enginesUpperStage
Indicates that the specified engines are part of, or belong to, the upper stage of a multi-stage launch vehicle or rocket.
-
C.
propulsionStage
Indicates a specific phase or stage within a propulsion or thrust-generating process.
-
D.
propellantTypeFirstSecondStages
Indicates that the first and second stages of a launch vehicle use the specified type of propellant.
-
E.
propulsionTypeUpperStage
Indicates the kind of propulsion system used by the upper stage of a multi-stage vehicle or rocket.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50050d6688190b909a1c24e1dd3c9 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.