Triple

T21142442
Position Surface form Disambiguated ID Type / Status
Subject NGC 4438 E520964 entity
Predicate hasAsymmetricalStructure P70360 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: [NGC 4438, hasAsymmetricalStructure, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAsymmetricalStructure
Context triple: [NGC 4438, hasAsymmetricalStructure, true]
  • A. hasAsymmetry
    Indicates that one entity exhibits a lack of symmetry or an uneven, non-mirrored relationship or structure relative to another entity.
  • B. hasGlobalAsymmetry chosen
    Indicates that an entity exhibits a non-uniform or directionally biased property or structure when considered at a global or overall scale.
  • C. asymmetric
    Indicates that the relationship between two entities never holds in both directions simultaneously, so if it holds from A to B it cannot also hold from B to A.
  • D. symmetryInvolved
    Indicates that a relationship or action inherently involves symmetry, such as invariance under certain transformations or the presence of symmetric structure or behavior.
  • E. symmetryOf
    Indicates that one entity is the symmetry counterpart or symmetric form of another entity, typically related by a specific symmetry operation or transformation.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69e5f5ed6c8c8190b31092a5d4c3de5d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:57 p.m.