Triple

T5817711
Position Surface form Disambiguated ID Type / Status
Subject F-1 E129027 entity
Predicate fuel P1585 FINISHED
Object RP-1 kerosene E99321 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: RP-1 kerosene | Statement: [F-1, fuel, RP-1 kerosene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RP-1 kerosene
Context triple: [F-1, fuel, RP-1 kerosene]
  • A. RP-1 chosen
    RP-1 is a highly refined kerosene-based rocket propellant commonly used in liquid-fueled launch vehicles.
  • B. Jet-A kerosene
    Jet-A kerosene is a widely used aviation turbine fuel for jet and turboprop aircraft, characterized by its high energy density, controlled combustion properties, and strict performance and safety specifications.
  • C. JP-7
    JP-7 is a specialized high-flashpoint jet fuel developed for sustained use in extreme temperatures and speeds, most notably in high-altitude reconnaissance aircraft.
  • D. LPG
    LPG (liquefied petroleum gas) is a widely used fuel composed mainly of propane and butane, commonly utilized for heating, cooking, and as an automotive and industrial energy source.
  • E. Gasoline
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e36cbc81908f1ef1a1a310674c completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098504c68819089eff37ea1fa0979 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.