Triple
T5731184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratt & Whitney PW2000 |
E126386
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object |
PW2037
The PW2037 is a high-bypass turbofan engine variant in Pratt & Whitney's PW2000 series, commonly used to power Boeing 757 aircraft.
|
E539456
|
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: PW2037 | Statement: [Pratt & Whitney PW2000, familyMember, PW2037]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PW2037 Context triple: [Pratt & Whitney PW2000, familyMember, PW2037]
-
A.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
-
B.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
-
C.
PW
PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
-
D.
PWR
PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
-
E.
PW4000 series
The PW4000 series is a family of high-bypass turbofan engines developed by Pratt & Whitney for wide-body commercial airliners.
- 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: PW2037 Triple: [Pratt & Whitney PW2000, familyMember, PW2037]
Generated description
The PW2037 is a high-bypass turbofan engine variant in Pratt & Whitney's PW2000 series, commonly used to power Boeing 757 aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PW2037 Target entity description: The PW2037 is a high-bypass turbofan engine variant in Pratt & Whitney's PW2000 series, commonly used to power Boeing 757 aircraft.
-
A.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
-
B.
PW
PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
-
C.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
-
D.
PWR
PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
-
E.
PW4000 series
The PW4000 series is a family of high-bypass turbofan engines developed by Pratt & Whitney for wide-body commercial airliners.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025318d688190bd878c5aa1a28728 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05cabceac819095c4a114220efb1a |
completed | March 22, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d30463481909876ca02516d31cc |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:47 p.m.