Triple

T30106567
Position Surface form Disambiguated ID Type / Status
Subject E-hulhul E765148 entity
Predicate equivalentDeityName P141581 FINISHED
Object Sin 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: Sin | Statement: [E-hulhul, equivalentDeityName, Sin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentDeityName
Context triple: [E-hulhul, equivalentDeityName, Sin]
  • A. equivalentMythologicalName chosen
    Indicates that two entities share the same identity in mythology, representing different names or versions of the same mythological figure.
  • B. comparableDeity
    Indicates that one deity is considered comparable to another in terms of role, attributes, status, or function.
  • 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. equivalentInRomanMythology
    Indicates that one entity corresponds to or is identified as the Roman-mythology counterpart of another entity from a different mythological tradition.
  • E. veneratedDeityNameVariant
    Indicates that the referenced name is an alternative or variant form used to venerate or refer to a particular deity.
  • 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_69f22475ad7c8190be7f9541044a0bbb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a16debc8190a12f5f65ced055d7 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 7:09 p.m.