Triple

T30168466
Position Surface form Disambiguated ID Type / Status
Subject Enheduanna E766855 entity
Predicate hasParticularNotableFeature P642 FINISHED
Object first author known by name in world history 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: first author known by name in world history | Statement: [Enheduanna, hasParticularNotableFeature, first author known by name in world history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParticularNotableFeature
Context triple: [Enheduanna, hasParticularNotableFeature, first author known by name in world history]
  • A. notableFeatureOn
    Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
  • B. notableTechnicalFeature
    Indicates that an entity possesses a significant or distinguishing technical characteristic or capability.
  • C. hasNotableFeature chosen
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • D. notableFeat
    Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
  • E. notableGameFeature
    Indicates that a particular game feature is especially significant, distinctive, or noteworthy in the context of the game.
  • 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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdee770af48190aca2670db50f8b49 completed May 8, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69fdecec98a08190a357d816dc2a6dbe completed May 8, 2026, 2:02 p.m.
Created at: April 29, 2026, 7:23 p.m.