Triple

T36978476
Position Surface form Disambiguated ID Type / Status
Subject Pilot Kakuno E914758 entity
Predicate writingOrientationAid P187457 FINISHED
Object smiley-face nib indicating correct orientation 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: smiley-face nib indicating correct orientation | Statement: [Pilot Kakuno, writingOrientationAid, smiley-face nib indicating correct orientation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingOrientationAid
Context triple: [Pilot Kakuno, writingOrientationAid, smiley-face nib indicating correct orientation]
  • A. writingDirectionStatus
    Indicates the current state or condition of an entity’s writing direction (e.g., left-to-right, right-to-left, or unspecified).
  • B. workOrientation
    Indicates the manner or attitude with which an entity approaches and performs its work or job-related activities.
  • C. styleOrientation
    Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
  • D. scriptOrientation
    Indicates the direction or layout in which a script or writing system is read or arranged (e.g., left-to-right, right-to-left, top-to-bottom).
  • E. hasWritingDirection
    Indicates the direction in which writing or text is read or written for a given script, language, or text system.
  • F. None of above. chosen

Provenance (4 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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
PDg Predicate description generation batch_69fb563a28d88190b28345c465c545f8 completed May 6, 2026, 2:54 p.m.
Created at: May 3, 2026, 4:14 p.m.