Triple

T29348173
Position Surface form Disambiguated ID Type / Status
Subject KV22 E744226 entity
Predicate containsReligiousTexts P64294 FINISHED
Object Book of the Dead-related compositions 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: Book of the Dead-related compositions | Statement: [KV22, containsReligiousTexts, Book of the Dead-related compositions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsReligiousTexts
Context triple: [KV22, containsReligiousTexts, Book of the Dead-related compositions]
  • A. usedForReligiousTexts
    Indicates that something is used in the creation, preservation, or practice of religious texts or scriptures.
  • B. usedInReligiousTextsOf
    Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
  • C. isAssociatedWithReligiousText
    Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
  • D. religiousTextsUsed chosen
    Indicates that certain religious texts are employed or referenced in the practice, teaching, or observance associated with an entity.
  • E. associatedReligionInTexts
    Indicates that a particular religion is mentioned or linked in written texts in connection with the given 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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69fe7bfc94bc81909eeec946e8c1c450 completed May 9, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69fe7b74a1188190886f128e07f712da completed May 9, 2026, 12:10 a.m.
Created at: April 28, 2026, 2:04 p.m.