Triple

T35012124
Position Surface form Disambiguated ID Type / Status
Subject Auri-El E1009960 entity
Predicate equivalentInPantheon P182002 FINISHED
Object Akatosh NE NERFINISHED

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: Akatosh | Statement: [Auri-El, equivalentInPantheon, Akatosh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentInPantheon
Context triple: [Auri-El, equivalentInPantheon, Akatosh]
  • A. equivalentInGreekReligion
    Indicates that two religious figures, concepts, or practices are counterparts or direct analogues of each other within the context of Greek religion.
  • B. equivalentInReligion
    Indicates that two entities share the same or an essentially identical religious affiliation, tradition, or classification.
  • C. equivalentInRomanMythology
    Indicates that one entity corresponds to or is identified as the Roman-mythology counterpart of another entity from a different mythological tradition.
  • D. equivalentInAztecPantheon
    Indicates that one entity is considered the functional or symbolic counterpart of another within the Aztec pantheon.
  • E. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • 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_69f76dcc3ac8819096a3ed52f5fa2523 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7865578d48190bf90e470634fd97d completed May 3, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69f7841812f081909d878955d114088e completed May 3, 2026, 5:21 p.m.
PDg Predicate description generation batch_69f78575917481909a3defd6a4c366bd completed May 3, 2026, 5:27 p.m.
Created at: May 3, 2026, 4:01 p.m.