Triple

T31883323
Position Surface form Disambiguated ID Type / Status
Subject Malia stone block with hieroglyphs E813938 entity
Predicate scriptComparison P184015 FINISHED
Object compared with Linear A 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: compared with Linear A | Statement: [Malia stone block with hieroglyphs, scriptComparison, compared with Linear A]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptComparison
Context triple: [Malia stone block with hieroglyphs, scriptComparison, compared with Linear A]
  • A. scriptCode
    Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
  • B. script
    Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
  • C. scriptSource
    Indicates that one entity is the origin or provider of the script used or referenced by another entity.
  • D. scriptEditor
    Indicates that an entity serves as the editor or editing environment used to create or modify a script.
  • E. scriptName
    Indicates the name or title of a script associated with an entity, typically identifying which script is used, referenced, or executed in a given context.
  • 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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f7aaabb58c8190bf81673608ecfb6e completed May 3, 2026, 8:06 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f7aa6795f481908940838ee7041ff5 completed May 3, 2026, 8:04 p.m.
Created at: April 30, 2026, 11:56 p.m.