Triple

T105524
Position Surface form Disambiguated ID Type / Status
Subject Kanji E2128 entity
Predicate usedAlongside P4791 FINISHED
Object hiragana 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: hiragana | Statement: [Kanji, usedAlongside, hiragana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAlongside
Context triple: [Kanji, usedAlongside, hiragana]
  • A. usedWith chosen
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • B. usedOn
    Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
  • C. usuallyAccompaniedBy
    Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
  • D. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • E. oftenAccompaniedBy
    Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a25711f6788190a22252ea3a3af394 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563be81c81908ccc5ed44edd6b8e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.