Triple

T9956518
Position Surface form Disambiguated ID Type / Status
Subject Eutropia E195459 entity
Predicate residence P75 FINISHED
Object Mediolanum E734385 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: Mediolanum | Statement: [Eutropia, residence, Mediolanum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mediolanum
Context triple: [Eutropia, residence, Mediolanum]
  • A. Mediolanum chosen
    Mediolanum was the chief city of the Roman region of Cisalpine Gaul, later developing into the important metropolis now known as Milan.
  • B. Roma
    Roma is a rural town in Queensland, Australia, known as a regional service and transport hub for the surrounding agricultural and gas-producing areas.
  • C. Roma
    Roma is a historic, centrally located neighborhood in Mexico City known for its tree-lined streets, early 20th-century architecture, and vibrant cultural and culinary scene.
  • D. Roma
    The Roma are a traditionally nomadic ethnic group originating from the Indian subcontinent and living mainly in Europe, long subjected to persecution and discrimination, including mass murder during the Holocaust.
  • E. Roma
    Roma is a critically acclaimed 2018 Mexican drama film directed by Alfonso Cuarón, celebrated for its intimate portrayal of a domestic worker in 1970s Mexico City and its innovative black-and-white cinematography.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6976b50819097a0ae347354e92c completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269ef79548190ac87851efffa3f12 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:46 p.m.