Triple

T15581855
Position Surface form Disambiguated ID Type / Status
Subject DES E374517 entity
Predicate usesFilterSystem P119297 FINISHED
Object grizY filters 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: grizY filters | Statement: [DES, usesFilterSystem, grizY filters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFilterSystem
Context triple: [DES, usesFilterSystem, grizY filters]
  • A. usesFilter
    Indicates that one entity applies or employs a filter (such as a criterion, condition, or processing mechanism) to another entity or set of data.
  • B. hasFilterExchangeSystem
    Indicates that one entity is equipped with or incorporates a system for exchanging or replacing filters.
  • C. hasFilterType
    Indicates that an entity is associated with, or constrained by, a specific type or category of filter applied to it.
  • D. usedBySystem
    Indicates that something is utilized or operated by a particular system.
  • E. usesCategorySystem
    Indicates that one entity organizes or classifies things according to a particular category system defined by another entity.
  • F. None of above. chosen

Provenance (4 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e45ee3c8190a6aee06a5805ca39 completed April 16, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69deda817e9881909b0c66fc9056f7d5 completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:11 a.m.