Triple

T22569707
Position Surface form Disambiguated ID Type / Status
Subject Geba script used as syllabary E558045 entity
Predicate scriptNature P148768 FINISHED
Object non-pictographic 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: non-pictographic | Statement: [Geba script used as syllabary, scriptNature, non-pictographic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptNature
Context triple: [Geba script used as syllabary, scriptNature, non-pictographic]
  • A. scriptedNature
    Indicates that the event or interaction is pre-planned, controlled, or follows a predetermined script rather than occurring spontaneously.
  • B. scriptedNatureExplainedAs
    Indicates that the nature or characteristics of something that is scripted are being explained or described as a particular type or quality.
  • C. digitalNature
    Indicates a relationship where something exists, operates, or is characterized primarily in a digital or computational form rather than a physical or analog one.
  • D. guidanceNature
    Indicates the type or character of guidance provided in the relationship between entities (e.g., advisory, directive, supportive, or instructional).
  • E. codeNature
    Indicates that one entity characterizes or specifies the type, category, or inherent nature of another entity, often in a coded or standardized form.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fad35448190b51a3dd639ca8568 completed April 29, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
PDg Predicate description generation batch_69ee8841e9cc81908d23b34215e3be71 completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:52 p.m.