Triple

T3636335
Position Surface form Disambiguated ID Type / Status
Subject LisaGraph E77076 entity
Predicate fileCompatibility P34360 FINISHED
Object part of Lisa Office System suite data exchange 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: part of Lisa Office System suite data exchange | Statement: [LisaGraph, fileCompatibility, part of Lisa Office System suite data exchange]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fileCompatibility
Context triple: [LisaGraph, fileCompatibility, part of Lisa Office System suite data exchange]
  • A. isGenerallyCompatibleWith
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • B. hasSoftwareCompatibilityWith chosen
    Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
  • C. requiresCompatibilityWith
    Indicates that one entity can only function correctly or be used if it is compatible with another specified entity.
  • D. compatibleSign
    Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
  • E. compatibleStand
    Indicates that one entity can be properly supported or held by another entity’s stand or mounting system.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.