Triple

T9758504
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Sinuhe E236610 entity
Predicate survivingManuscripts P66558 FINISHED
Object multiple Middle Kingdom papyri and later copies 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: multiple Middle Kingdom papyri and later copies | Statement: [The Tale of Sinuhe, survivingManuscripts, multiple Middle Kingdom papyri and later copies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivingManuscripts
Context triple: [The Tale of Sinuhe, survivingManuscripts, multiple Middle Kingdom papyri and later copies]
  • A. earliestManuscripts
    Indicates that the related entity (e.g., a text or work) is associated with its earliest known surviving manuscripts or documentary witnesses.
  • B. survivingSources chosen
    Indicates that there exist remaining or extant sources (e.g., documents, records, artifacts) that attest to or provide evidence about the subject.
  • C. copiedManuscriptsOf
    Indicates that one entity has produced or created handwritten reproductions of the manuscripts belonging to another entity.
  • D. areManuscriptsOf
    Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
  • E. booksSurvivingCompletely
    Indicates that the books in question have remained fully intact and unchanged, with no parts lost or damaged.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda047d0408190b91f7195513da6e8 completed April 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69cd03d0772c8190bd1750cf1cfba309 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:24 p.m.