Triple

T4193229
Position Surface form Disambiguated ID Type / Status
Subject Cacus E89082 entity
Predicate describedIn P519 FINISHED
Object Aeneid E20348 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: Aeneid | Statement: [Cacus, describedIn, Aeneid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeneid
Context triple: [Cacus, describedIn, Aeneid]
  • A. Virgil's Aeneid chosen
    Virgil's Aeneid is a Latin epic poem that narrates the legendary journey of Aeneas from the ruins of Troy to Italy, laying a mythic foundation for the origins of Rome.
  • B. Les Troyens
    Les Troyens is a grand five-act French opera by Hector Berlioz, inspired by Virgil’s Aeneid and renowned for its epic scale and rich orchestration.
  • C. Les Phocéens
    Les Phocéens is the traditional nickname for Olympique de Marseille, referencing the ancient Greek settlers of the city of Marseille (Phocaea).
  • D. Lucan’s Pharsalia
    Lucan’s Pharsalia is a 1st-century AD Roman epic poem by Marcus Annaeus Lucanus that dramatically recounts the civil war between Julius Caesar and Pompey the Great.
  • E. The Destruction of Troy
    The Destruction of Troy is a Middle English alliterative poem retelling the fall of Troy, notable as a key work of the Alliterative Revival in 14th-century English literature.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.