Triple

T16451896
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Venusia E227686 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: Venusia | Statement: [Regio IV Samnium, contains, Venusia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venusia
Context triple: [Regio IV Samnium, contains, Venusia]
  • A. Venusia chosen
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • B. Venus Calva
    Venus Calva is a lesser-known aspect of the Roman goddess Venus associated with hair, often invoked in myths and cults relating to the cutting or loss of women’s hair in times of crisis.
  • C. Venus Libertina
    Venus Libertina is a Roman aspect of the goddess Venus associated with freedom and the liberation of slaves.
  • D. Venera
    Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.