Triple

T19162296
Position Surface form Disambiguated ID Type / Status
Subject Thoth Tarot E469084 entity
Predicate hasCorrespondence P106119 FINISHED
Object Hebrew letters 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: Hebrew letters | Statement: [Thoth Tarot, hasCorrespondence, Hebrew letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCorrespondence
Context triple: [Thoth Tarot, hasCorrespondence, Hebrew letters]
  • A. hasCorrespondenceForm
    Indicates that there exists a specific format, template, or structural representation used for the correspondence associated with an entity.
  • B. containsCorrespondenceWith
    Indicates that one entity includes or holds correspondence (such as messages or communications) that is associated with or exchanged with another entity.
  • C. correspondsWith chosen
    Indicates that two entities are in mutual alignment or agreement, such that one matches, parallels, or is equivalent to the other in a specified respect.
  • D. hasCorrespondingAuthor
    Indicates that an entity (such as a publication) is linked to the author who serves as the primary contact responsible for correspondence about it.
  • E. correspondedWith
    Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebe03ac8190bbe0b34ebf0d90c6 completed April 20, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69e4b9b83d6881908e6271c620f74100 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.