Triple

T2600136
Position Surface form Disambiguated ID Type / Status
Subject Book of the Dead E58320 entity
Predicate numberOfKnownSpells P39519 FINISHED
Object approximately 190 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: approximately 190 | Statement: [Book of the Dead, numberOfKnownSpells, approximately 190]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfKnownSpells
Context triple: [Book of the Dead, numberOfKnownSpells, approximately 190]
  • A. spells
    Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
  • B. typeOfMagic
    Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
  • C. numberOfKnownPlays
    Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
  • D. spokenIncantation
    Indicates that an entity has uttered a specific magical or ritual phrase, typically to invoke an effect or power.
  • E. hasRitualFocus
    Indicates that an entity is associated with or directed toward a particular object, practice, or element that serves as the central focus of a ritual.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd457564c819080d8c8818c02545a completed March 7, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69abd0d4e8648190b612eb09aa085451 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1c7b6e48190be9a0c31069df797 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:49 p.m.