Triple

T26301523
Position Surface form Disambiguated ID Type / Status
Subject Achoron E661570 entity
Predicate equivalentInMythology P141581 FINISHED
Object Achamán 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: Achamán | Statement: [Achoron, equivalentInMythology, Achamán]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentInMythology
Context triple: [Achoron, equivalentInMythology, Achamán]
  • A. equivalentInRomanMythology
    Indicates that one entity corresponds to or is identified as the Roman-mythology counterpart of another entity from a different mythological tradition.
  • B. equivalentMythologicalName chosen
    Indicates that two entities share the same identity in mythology, representing different names or versions of the same mythological figure.
  • C. equivalentInGreekReligion
    Indicates that two religious figures, concepts, or practices are counterparts or direct analogues of each other within the context of Greek religion.
  • D. linkedToMythology
    Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
  • E. comparableDeity
    Indicates that one deity is considered comparable to another in terms of role, attributes, status, or function.
  • 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_69ee812cd48c81908054068f545f0526 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
Created at: April 26, 2026, 10:16 p.m.