Triple

T11692972
Position Surface form Disambiguated ID Type / Status
Subject Raptor engine E277914 entity
Predicate fuelCoolingMethod P11564 FINISHED
Object regenerative cooling LITERAL 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: regenerative cooling | Statement: [Raptor engine, fuelCoolingMethod, regenerative cooling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fuelCoolingMethod
Context triple: [Raptor engine, fuelCoolingMethod, regenerative cooling]
  • A. fuelSystem
    Indicates a relationship where one entity serves as the fuel system (or part of it) that supplies, stores, or manages fuel for the operation of another entity.
  • B. coolingMethod chosen
    Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
  • C. refuellingSystem
    Indicates a system or mechanism used to supply fuel from one entity to another.
  • D. coolant
    Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
  • E. hasCoolingFlow
    Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
  • F. None of above.

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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69d88a7b30948190b616a9db5c5488d5 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.