Triple

T543643
Position Surface form Disambiguated ID Type / Status
Subject Vespasian E12684 entity
Predicate deathPlace P21 FINISHED
Object Rieti E105211 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: Rieti | Statement: [Vespasian, deathPlace, Rieti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rieti
Context triple: [Vespasian, deathPlace, Rieti]
  • A. Rieti chosen
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • B. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • C. Parma
    Parma is a historic city in northern Italy renowned for its rich artistic heritage, architecture, and culinary traditions, including Parmigiano Reggiano cheese and Parma ham.
  • D. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • E. Viterbo
    Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf473e48819095390a5904429a9c completed March 4, 2026, 6:20 a.m.
Created at: March 1, 2026, 7:32 p.m.