Triple
T8741976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RD-107 |
E207525
|
entity |
| Predicate | hasMainCombustionChambers |
P80789
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [RD-107, hasMainCombustionChambers, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCombustionChambers Context triple: [RD-107, hasMainCombustionChambers, 4]
-
A.
combustionChamberCount
chosen
Indicates the number of combustion chambers associated with an engine or combustion system.
-
B.
combustionChamber
Indicates that one entity functions as the combustion chamber in which another entity’s fuel–air mixture is burned to produce energy or propulsion.
-
C.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
-
D.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
E.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d6fd5dc8190906b7147f27c5d46 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.