Triple
T6627483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFM International CFM56-7B turbofan |
E149840
|
entity |
| Predicate | hasCompressor |
P71832
|
FINISHED |
| Object | low-pressure 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: low-pressure compressor | Statement: [CFM International CFM56-7B turbofan, hasCompressor, low-pressure compressor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompressor Context triple: [CFM International CFM56-7B turbofan, hasCompressor, low-pressure compressor]
-
A.
compressorType
Indicates the specific kind or category of compressor associated with an entity.
-
B.
supportsCompressedFiles
Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
-
C.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
D.
headerCompressionAlgorithm
Indicates the algorithm used to compress the header portion of a data structure or message.
-
E.
hasMajorCompiler
Indicates that an entity is associated with or supported by a primary or widely used compiler.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c30733908190980f7ffaa5c5527b |
completed | March 27, 2026, 5:48 p.m. |
Created at: March 27, 2026, 1:59 p.m.