Triple

T13711402
Position Surface form Disambiguated ID Type / Status
Subject Pessinus E328778 entity
Predicate religiousObject P2154 FINISHED
Object black meteoric stone of Cybele 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: black meteoric stone of Cybele | Statement: [Pessinus, religiousObject, black meteoric stone of Cybele]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousObject
Context triple: [Pessinus, religiousObject, black meteoric stone of Cybele]
  • A. religiousElement chosen
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. religiousTextType
    Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
  • C. religiousTextOf
    Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
  • D. religiousTextCategory
    Indicates that a religious text belongs to or is classified under a particular category or type.
  • E. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69dbbe92d77c81908e0244cffb7f78c5 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:54 p.m.