Triple

T38096154
Position Surface form Disambiguated ID Type / Status
Subject Declaration of Innocence E951247 entity
Predicate sectionNumberInBookOfTheDead P14913 FINISHED
Object Spell 125 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: Spell 125 | Statement: [Declaration of Innocence, sectionNumberInBookOfTheDead, Spell 125]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectionNumberInBookOfTheDead
Context triple: [Declaration of Innocence, sectionNumberInBookOfTheDead, Spell 125]
  • A. chapterNumber chosen
    Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
  • B. appearsInBookNumber
    Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
  • C. scripturalChapters
    Indicates that one entity is composed of, contains, or is divided into the specified scriptural chapters.
  • D. verseNumber
    Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
  • E. tombNumber
    Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
  • 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_69f76f04960c8190a83f14ae4c67f5bc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.