Triple

T3248086
Position Surface form Disambiguated ID Type / Status
Subject Vespasia Polla E68110 entity
Predicate nomen P744 FINISHED
Object Vespasia E342378 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: Vespasia | Statement: [Vespasia Polla, nomen, Vespasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vespasia
Context triple: [Vespasia Polla, nomen, Vespasia]
  • A. Vespasia chosen
    Vespasia was an ancient Roman family name associated with the noble lineage of the Vespasii, relatives of the emperor Vespasian.
  • B. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • C. 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.
  • D. Atilia
    Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
  • E. Marrucini
    The Marrucini were an ancient Italic tribe of central Italy, closely associated with neighboring peoples like the Marsi and Paeligni and later incorporated into the Roman state.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3e9ed0819096ac238098ac403c completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e82f91788190a9b14613eab7a439 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.