Triple

T5731216
Position Surface form Disambiguated ID Type / Status
Subject Pratt & Whitney PW2000 E126386 entity
Predicate notableVariant P4680 FINISHED
Object PW2040 E539457 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: PW2040 | Statement: [Pratt & Whitney PW2000, notableVariant, PW2040]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PW2040
Context triple: [Pratt & Whitney PW2000, notableVariant, PW2040]
  • A. PW2040 chosen
    The PW2040 is a high-bypass turbofan jet engine variant in Pratt & Whitney’s PW2000 series, commonly used to power military and cargo aircraft such as the C-17 Globemaster III.
  • B. Raspberry Pi Pico
    Raspberry Pi Pico is a low-cost, microcontroller-based development board from the Raspberry Pi Foundation built around the RP2040 chip for embedded and hobbyist projects.
  • C. CircuitPython
    CircuitPython is an open-source, beginner-friendly variant of Python designed by Adafruit for programming microcontrollers and embedded hardware.
  • D. MicroPython
    MicroPython is a lean and efficient reimplementation of the Python 3 language designed to run on microcontrollers and other resource-constrained embedded systems.
  • E. Raspberry Pi
    Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
  • 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_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_69c07dffe45481909eb617e40c83bd14 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:47 p.m.