Triple
T7251645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Electric F110 |
E157614
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
F110
F110 is a family of afterburning turbofan jet engines developed by General Electric for high-performance military fighter aircraft such as the F-16 and F-15.
|
E651244
|
NE FINISHED |
How this triple was built (4 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: F110 | Statement: [General Electric F110, abbreviation, F110]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F110 Context triple: [General Electric F110, abbreviation, F110]
-
A.
F118
The F118 is a non-afterburning turbofan jet engine developed by General Electric, used to power high-performance military aircraft such as the B-2 Spirit stealth bomber and U-2S reconnaissance plane.
-
B.
F117
The F117 is a high-bypass turbofan jet engine developed by Pratt & Whitney, widely used to power the Boeing C-17 Globemaster III military transport aircraft.
-
C.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
D.
H 111
H 111 is the catalogue number assigned to Hector Berlioz’s dramatic legend "La damnation de Faust."
-
E.
F11
F11 is the station code used to identify Suitland station on the Washington Metro transit system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: F110 Triple: [General Electric F110, abbreviation, F110]
Generated description
F110 is a family of afterburning turbofan jet engines developed by General Electric for high-performance military fighter aircraft such as the F-16 and F-15.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F110 Target entity description: F110 is a family of afterburning turbofan jet engines developed by General Electric for high-performance military fighter aircraft such as the F-16 and F-15.
-
A.
F118
The F118 is a non-afterburning turbofan jet engine developed by General Electric, used to power high-performance military aircraft such as the B-2 Spirit stealth bomber and U-2S reconnaissance plane.
-
B.
F117
The F117 is a high-bypass turbofan jet engine developed by Pratt & Whitney, widely used to power the Boeing C-17 Globemaster III military transport aircraft.
-
C.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
-
D.
H 111
H 111 is the catalogue number assigned to Hector Berlioz’s dramatic legend "La damnation de Faust."
-
E.
F11
F11 is the station code used to identify Suitland station on the Washington Metro transit system.
- F. None of above. chosen
Provenance (5 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a7502081909d2a97a60cc445ae |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d517a7108190893878cbef7d1a3a |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:56 p.m.