Triple

T5051069
Position Surface form Disambiguated ID Type / Status
Subject Phobos E113785 entity
Predicate hasDimensions P44779 FINISHED
Object 27 × 22 × 18 kilometers 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: 27 × 22 × 18 kilometers | Statement: [Phobos, hasDimensions, 27 × 22 × 18 kilometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDimensions
Context triple: [Phobos, hasDimensions, 27 × 22 × 18 kilometers]
  • A. hasDimension
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • B. hasDimensionality
    Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
  • C. hasIndividualDimension
    Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
  • D. includesDimension
    Indicates that one entity encompasses or contains a particular dimension or measurable aspect as part of its definition or structure.
  • E. hasDimensionParameter chosen
    Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd715479f08190933604aebd34414f completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.