Triple

T16169117
Position Surface form Disambiguated ID Type / Status
Subject Temples of Venus E392386 entity
Predicate hasDeityAspect P73550 FINISHED
Object Venus Genetrix E500451 NE 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: Venus Genetrix | Statement: [Temples of Venus, hasDeityAspect, Venus Genetrix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus Genetrix
Context triple: [Temples of Venus, hasDeityAspect, Venus Genetrix]
  • A. Venus Genetrix chosen
    Venus Genetrix is the aspect of the Roman goddess Venus revered as the divine ancestress and protector of the Julian family and of Rome itself.
  • B. Venusia
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • C. Vonda
    Vonda is a feminine given name most notably borne by American singer-songwriter Vonda Shepard.
  • D. Venus Fire Trap
    Venus Fire Trap is a recurring carnivorous plant enemy in the Super Mario video game series that emerges from pipes to spit fireballs at the player.
  • E. Venus Felix
    Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.