Triple

T16899037
Position Surface form Disambiguated ID Type / Status
Subject The Tale of the Heike E424385 entity
Predicate earliestCompilationPeriod P113262 FINISHED
Object Kamakura period 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: Kamakura period | Statement: [The Tale of the Heike, earliestCompilationPeriod, Kamakura period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earliestCompilationPeriod
Context triple: [The Tale of the Heike, earliestCompilationPeriod, Kamakura period]
  • A. earliestCompilationAttributedTo
    Indicates that one entity is regarded as the earliest known or first compilation associated with, or attributed to, another entity.
  • B. earliestKnownPeriod chosen
    Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
  • C. earliestStrataDate
    Indicates the earliest known or recorded date associated with a particular geological or archaeological stratum.
  • D. earliestConstructionAttributedTo
    Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
  • E. earliestTextsIn
    Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69e32b9489408190bcb2ede567ff5bf9 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.