Triple

T1258454
Position Surface form Disambiguated ID Type / Status
Subject Taurus E12444 entity
Predicate associatedQuality P2830 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: [Taurus, associatedQuality, practicality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedQuality
Context triple: [Taurus, associatedQuality, practicality]
  • A. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • B. oftenAccompaniedBy
    Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
  • C. opposedQualityTo
    Indicates that one quality stands in direct opposition or contrast to another quality.
  • D. notablyAssociatedWith
    Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
  • E. associatedHeir
    Indicates that one entity is designated or recognized as the heir connected to, or inheriting from, another entity.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfaa2b508190a3f61c67b3fa3ad4 completed March 1, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69a4bb6eefbc81908dddd7d2ef368186 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:50 p.m.