Triple
T18763827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turbomeca |
E458842
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Turbomeca SA |
—
|
NE NERFINISHED |
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: Turbomeca SA | Statement: [Turbomeca, formerName, Turbomeca SA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turbomeca SA Context triple: [Turbomeca, formerName, Turbomeca SA]
-
A.
Turbomeca
chosen
Turbomeca is a French aerospace company renowned for designing and producing small and medium gas turbine engines, particularly for helicopters and military aircraft.
-
B.
Safran Aircraft Engines
Safran Aircraft Engines is a major French aerospace company that designs, develops, and manufactures aircraft and rocket engines for civil and military applications worldwide.
-
C.
The Safran Company
The Safran Company is a film and television production company best known for producing major horror franchises such as The Conjuring series.
-
D.
Snecma
Snecma is a French aerospace engine manufacturer known for developing and producing aircraft and rocket propulsion systems, including engines for commercial airliners and military aircraft.
-
E.
Pratt & Whitney
Pratt & Whitney is a major American aerospace manufacturer best known for designing and producing aircraft engines for commercial, military, and general aviation markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.