Triple

T29986603
Position Surface form Disambiguated ID Type / Status
Subject Calc E761749 entity
Predicate hasNameInSuite P194608 FINISHED
Object LibreOffice Calc NE NERFINISHED

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: LibreOffice Calc | Statement: [Calc, hasNameInSuite, LibreOffice Calc]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInSuite
Context triple: [Calc, hasNameInSuite, LibreOffice Calc]
  • A. containsSuite
    Indicates that one entity includes or encompasses a suite (a set or collection of related items, components, or units) as part of its contents.
  • B. alsoInSuiteWith
    Indicates that one entity is part of the same suite, set, or grouped collection as another entity.
  • C. hasSuiteLevel
    Indicates that one entity is associated with a specific floor or level within a suite or multi-level unit.
  • D. hasNameInFamily
    Indicates that an entity is known or referred to by a particular name within the context of a specific family or familial group.
  • E. hasTestNamedAfterHer
    Indicates that a person is the namesake of a test, meaning a test is named in honor of or after her.
  • 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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
PDg Predicate description generation batch_69fd7e35967081909f8bc8389d976ffd completed May 8, 2026, 6:09 a.m.
Created at: April 29, 2026, 6:36 p.m.