Triple

T15901739
Position Surface form Disambiguated ID Type / Status
Subject Kulitan E385604 entity
Predicate hasCharacterOrientation P2264 FINISHED
Object characters oriented for vertical layout 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: characters oriented for vertical layout | Statement: [Kulitan, hasCharacterOrientation, characters oriented for vertical layout]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterOrientation
Context triple: [Kulitan, hasCharacterOrientation, characters oriented for vertical layout]
  • A. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • B. hasWritingDirection chosen
    Indicates the direction in which writing or text is read or written for a given script, language, or text system.
  • C. hasRegionalOrientation
    Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
  • D. hasFieldOrientation
    Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
  • E. hasPageOrientation
    Indicates that an entity is associated with a specific layout orientation of a page, such as portrait or landscape.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142ca3b208190946c3aa4c1e6087c completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:52 a.m.