Triple

T8310407
Position Surface form Disambiguated ID Type / Status
Subject Tusculanae Disputationes E194575 entity
Predicate setting P1957 FINISHED
Object Tusculum E195470 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: Tusculum | Statement: [Tusculanae Disputationes, setting, Tusculum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tusculum
Context triple: [Tusculanae Disputationes, setting, Tusculum]
  • A. Tusculum chosen
    Tusculum was an ancient Roman city in the Alban Hills southeast of Rome, known as a wealthy aristocratic center and the site of notable villas and political activity.
  • B. Lavinium
    Lavinium was an ancient coastal city of Latium in central Italy, traditionally associated with the legendary landing of Aeneas and the early origins of Roman religious cults.
  • C. Temora
    Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
  • D. Vicus Tuscus
    Vicus Tuscus was an ancient Roman street in the city of Rome, known for its commercial activity and its location between the Roman Forum and the Circus Maximus.
  • E. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2eecb08190ae0ba8adbaf58c8f completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd956f01748190a0db22ef68126bee completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.