Triple

T16169122
Position Surface form Disambiguated ID Type / Status
Subject Temples of Venus E392386 entity
Predicate hasDeityAspect P73550 FINISHED
Object Venus Felix E501411 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 Felix | Statement: [Temples of Venus, hasDeityAspect, Venus Felix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus Felix
Context triple: [Temples of Venus, hasDeityAspect, Venus Felix]
  • A. Venus Felix chosen
    Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
  • B. Venus Victrix
    Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
  • C. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • D. Venusia
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • E. Venus Verticordia
    Venus Verticordia is a Roman aspect of the goddess Venus revered as the protector and moral guide of women’s chastity and the changer of hearts toward virtue.
  • 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_6a000785fcd481909ddf92cf9cc5c0aa completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.