Triple

T15880936
Position Surface form Disambiguated ID Type / Status
Subject Dactyl E385071 entity
Predicate hasLowGravity P13885 FINISHED
Object true 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: true | Statement: [Dactyl, hasLowGravity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowGravity
Context triple: [Dactyl, hasLowGravity, true]
  • A. hasArtificialGravity
    Indicates that an environment, structure, or vehicle possesses a system that generates gravity-like forces for its occupants.
  • B. hasLow chosen
    Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
  • C. hasSurfaceGravity
    Indicates that one entity possesses a specific gravitational acceleration at its surface, typically measured as the strength of gravity experienced at or near that surface.
  • D. hasLowLuminosity
    Indicates that an entity emits relatively little light or energy compared to a typical or reference level.
  • E. hasNoAtmosphere
    Indicates that the subject lacks a surrounding gaseous envelope or atmosphere.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142c3e18c8190bb7b023f4a0eaebb completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:51 a.m.