Triple

T5581550
Position Surface form Disambiguated ID Type / Status
Subject Virgo E146650 entity
Predicate associatedElementTraits P53226 FINISHED
Object practicality 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: practicality | Statement: [Virgo, associatedElementTraits, practicality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedElementTraits
Context triple: [Virgo, associatedElementTraits, practicality]
  • A. associatedWithElement
    Indicates a relationship where one entity is linked or connected to a particular element, such that the element is relevant to, involved in, or characteristic of that entity.
  • B. elementalAssociation chosen
    Indicates an association where one entity is linked or related to a particular element or elemental property (such as fire, water, earth, or air).
  • C. associatedEventType
    Indicates that one entity is linked to another by the type or category of event with which it is associated.
  • D. associatedValue
    Indicates that one entity is linked to another entity that serves as its corresponding or contextually related value.
  • E. associatedUnitType
    Indicates that one entity is linked to or characterized by a particular type or category of unit.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b147cc081909237f3f2967d4cb8 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:37 p.m.