Triple

T36441783
Position Surface form Disambiguated ID Type / Status
Subject Ninmena E897752 entity
Predicate possibleAspectOf P178844 FINISHED
Object Ninhursag 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: Ninhursag | Statement: [Ninmena, possibleAspectOf, Ninhursag]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: possibleAspectOf
Context triple: [Ninmena, possibleAspectOf, Ninhursag]
  • A. possibleAspect chosen
    Indicates that one entity can be viewed as a potential aspect, facet, or component of another entity.
  • B. governsAspectOf
    Indicates that one entity exercises control, regulation, or determining influence over a particular aspect or component of another entity.
  • C. usesAspect
    Indicates that one entity employs, adopts, or operates under a particular aspect, perspective, or mode associated with another entity.
  • D. uniqueAspect
    Indicates that the subject possesses a distinctive feature or characteristic that sets it apart from others.
  • E. coversAspect
    Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
  • 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_69f76e5720b481908f8177ac24a7560b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:10 p.m.