Triple
T7389326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyulka AL-21F-3 |
E170459
|
entity |
| Predicate | stagesOfCompressor |
P7615
|
FINISHED |
| Object | 14-stage axial compressor |
—
|
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: 14-stage axial compressor | Statement: [Lyulka AL-21F-3, stagesOfCompressor, 14-stage axial compressor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stagesOfCompressor Context triple: [Lyulka AL-21F-3, stagesOfCompressor, 14-stage axial compressor]
-
A.
turbineStages
Indicates the number or configuration of sequential stages within a turbine through which working fluid passes to extract energy.
-
B.
missileStages
Indicates that one entity represents a stage or component of another entity that is a missile.
-
C.
numberOfStages
chosen
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
D.
compressorType
Indicates the specific kind or category of compressor associated with an entity.
-
E.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f512d881908056bdb88a58bea4 |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:09 p.m.