Triple
T17121620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williams International |
E415479
|
entity |
| Predicate | hasEngineFamily |
P18926
|
FINISHED |
| Object |
F121
The F121 is a small turbofan engine developed by Williams International, commonly used in military unmanned aerial vehicles and cruise missiles.
|
E1250658
|
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: F121 | Statement: [Williams International, hasEngineFamily, F121]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F121 Context triple: [Williams International, hasEngineFamily, F121]
-
A.
F124
F124 is a compact, high-performance turbofan engine developed by Honeywell for use in military trainer and light attack aircraft.
-
B.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
C.
F 21
F 21 is a wing of the Swedish Air Force known for operating fighter aircraft and conducting air defense and training missions in northern Sweden.
-
D.
F119
The F119 is a high-performance afterburning turbofan jet engine developed by Pratt & Whitney to power the U.S. Air Force’s F-22 Raptor stealth fighter.
-
E.
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.
- 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: F121 Triple: [Williams International, hasEngineFamily, F121]
Generated description
The F121 is a small turbofan engine developed by Williams International, commonly used in military unmanned aerial vehicles and cruise missiles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F121 Target entity description: The F121 is a small turbofan engine developed by Williams International, commonly used in military unmanned aerial vehicles and cruise missiles.
-
A.
F124
F124 is a compact, high-performance turbofan engine developed by Honeywell for use in military trainer and light attack aircraft.
-
B.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
C.
F 21
F 21 is a wing of the Swedish Air Force known for operating fighter aircraft and conducting air defense and training missions in northern Sweden.
-
D.
F119
The F119 is a high-performance afterburning turbofan jet engine developed by Pratt & Whitney to power the U.S. Air Force’s F-22 Raptor stealth fighter.
-
E.
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.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:36 a.m.