Triple

T2388056
Position Surface form Disambiguated ID Type / Status
Subject Horatius E48875 entity
Predicate birthPlace P1 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: [Horatius, birthPlace, Venusia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venusia
Context triple: [Horatius, birthPlace, 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. Venera
    Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
  • C. Platform of Venus
    The Platform of Venus is a pre-Columbian Maya ceremonial structure at Chichén Itzá, likely associated with astronomical observations and rituals linked to the planet Venus.
  • D. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • E. Philyra
    Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7db4ee08190a5c114e42bc46f70 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3cf53088190ba42e03d2de2b36e completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.