Triple

T5536961
Position Surface form Disambiguated ID Type / Status
Subject Via Salaria E145185 entity
Predicate connects P390 FINISHED
Object Rome E3694 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: Rome | Statement: [Via Salaria, connects, Rome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome
Context triple: [Via Salaria, connects, Rome]
  • A. Rome chosen
    Rome is the historic capital of Italy and a major cultural and religious center of the world, renowned for its ancient Roman heritage, art, and architecture.
  • B. Rome
    Rome is a city in northwestern Georgia, United States, known as a regional center for education, healthcare, and manufacturing in the Appalachian foothills.
  • C. 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.
  • 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 rural town in Queensland, Australia, known as a regional service and transport hub for the surrounding agricultural and gas-producing areas.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04c916df08190a95e3320ab364b52 completed March 22, 2026, 8:09 p.m.
Created at: March 22, 2026, 3:34 p.m.