Triple
T14615333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falcon 900 |
E343069
|
entity |
| Predicate | engineModel |
P2092
|
FINISHED |
| Object | TFE731 |
E284557
|
NE 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: TFE731 | Statement: [Falcon 900, engineModel, TFE731]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFE731 Context triple: [Falcon 900, engineModel, TFE731]
-
A.
TTEF
TTEF is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company operating in oil, gas, and renewables.
-
B.
Tf3
Tf3 is a classically trained string trio known for blending classical music with genres like jazz, rock, and pop in highly energetic performances.
-
C.
Garrett TFE731-2
chosen
The Garrett TFE731-2 is a small, geared turbofan jet engine widely used on light business jets for its efficiency and reliability.
-
D.
TF33
The TF33 is a military turbofan jet engine derived from the Pratt & Whitney JT3D, widely used to power various U.S. Air Force transport and reconnaissance aircraft.
-
E.
FEF
FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda922f29c8190af98a8241d86f7cd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.