Triple

T7463838
Position Surface form Disambiguated ID Type / Status
Subject Zapotec script E176320 entity
Predicate relatedTo P37 FINISHED
Object Maya script E153782 NE 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: Maya script | Statement: [Zapotec script, relatedTo, Maya script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maya script
Context triple: [Zapotec script, relatedTo, Maya script]
  • A. Maya script chosen
    Maya script is the complex logosyllabic writing system of the ancient Maya, used to record their history, rituals, astronomy, and royal lineages on monuments, codices, and artifacts.
  • B. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • C. NewtonScript
    NewtonScript is an object-oriented, prototype-based programming language developed by Apple for its Newton PDA platform, designed for ease of use in pen-based and mobile applications.
  • D. BrainScript
    BrainScript is a domain-specific scripting language developed for defining and training neural networks within the Microsoft Cognitive Toolkit (CNTK).
  • E. Mayavi
    Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:39 p.m.