Triple

T3473033
Position Surface form Disambiguated ID Type / Status
Subject Maps SDK for Unity E73306 entity
Predicate supportsDimension P203 FINISHED
Object 3D 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: 3D | Statement: [Maps SDK for Unity, supportsDimension, 3D]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDimension
Context triple: [Maps SDK for Unity, supportsDimension, 3D]
  • A. hasDimension
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • B. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. supportsType
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • D. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • E. supportsView
    Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3e03e081908aa09291bbf351bd completed March 8, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69adae07802c8190919c49b0e65b2797 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:17 p.m.