Triple

T10814006
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefectural flag E255176 entity
Predicate writingDirectionOfTextElement P2264 FINISHED
Object horizontal 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: horizontal | Statement: [Saitama Prefectural flag, writingDirectionOfTextElement, horizontal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingDirectionOfTextElement
Context triple: [Saitama Prefectural flag, writingDirectionOfTextElement, horizontal]
  • A. hasWritingDirection chosen
    Indicates the direction in which writing or text is read or written for a given script, language, or text system.
  • B. translationDirection
    Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
  • C. textAlignment
    Indicates how text is positioned or aligned relative to a reference frame, such as margins, columns, or other layout boundaries.
  • D. numberingDirection
    Indicates the direction or order in which items are sequentially numbered within a set or structure.
  • E. transliterationElement
    Indicates a relationship where one element represents the transliterated form or component of another element’s written expression.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
PD Predicate disambiguation batch_69d70d1bf3648190b36fa96ea018e0dc completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:18 p.m.