Triple

T3163220
Position Surface form Disambiguated ID Type / Status
Subject Classical Mongolian script E66148 entity
Predicate writingOrientation P2264 FINISHED
Object pages traditionally turned left like Chinese books 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: pages traditionally turned left like Chinese books | Statement: [Classical Mongolian script, writingOrientation, pages traditionally turned left like Chinese books]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingOrientation
Context triple: [Classical Mongolian script, writingOrientation, pages traditionally turned left like Chinese books]
  • A. hasWritingDirection chosen
    Indicates the direction in which writing or text is read or written for a given script, language, or text system.
  • B. valueOrientation
    Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
  • C. legOrientation
    Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
  • D. sessionOrientation
    Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
  • E. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69ad9dfe0a948190928f2201d671c654 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.