Triple
T6627485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFM International CFM56-7B turbofan |
E149840
|
entity |
| Predicate | hasTurbine |
P32979
|
FINISHED |
| Object | low-pressure turbine |
—
|
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 turbine | Statement: [CFM International CFM56-7B turbofan, hasTurbine, low-pressure turbine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTurbine Context triple: [CFM International CFM56-7B turbofan, hasTurbine, low-pressure turbine]
-
A.
hasTurbines
chosen
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another entity.
-
B.
hasTurbineHall
Indicates that something includes or is equipped with a turbine hall as part of its structure or facilities.
-
C.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
D.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
E.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
- 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_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. |
Created at: March 27, 2026, 1:59 p.m.