Triple

T13553225
Position Surface form Disambiguated ID Type / Status
Subject Mercury Transfer Module E323700 entity
Predicate spacecraftBusType P12569 FINISHED
Object custom ESA deep-space transfer module 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: custom ESA deep-space transfer module | Statement: [Mercury Transfer Module, spacecraftBusType, custom ESA deep-space transfer module]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spacecraftBusType
Context triple: [Mercury Transfer Module, spacecraftBusType, custom ESA deep-space transfer module]
  • A. spacecraftBus chosen
    Indicates that one entity serves as the primary structural and support platform (bus) for a spacecraft, integrating and housing its subsystems.
  • B. spacecraftSizeClass
    Indicates the size category or class to which a spacecraft belongs based on its overall dimensions or mass.
  • C. spacecraftModel
    Indicates that one entity is the specific model or design type of a spacecraft associated with another entity.
  • D. mainSpacecraft
    Indicates that one spacecraft is designated as the primary or principal spacecraft in relation to another entity or context.
  • E. orbiterType
    Indicates the specific class or category of an orbiter based on its design, mission role, or operational characteristics.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.