Triple

T9308632
Position Surface form Disambiguated ID Type / Status
Subject Regio X Palatium E223952 entity
Predicate partOf P40 FINISHED
Object city of 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: city of Rome | Statement: [Regio X Palatium, partOf, city of Rome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Rome
Context triple: [Regio X Palatium, partOf, city of 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. Rome
    Rome is a British-American animated television series created by Danger Mouse that blends surreal humor, espionage themes, and distinctive visual style.
  • D. Rome
    Rome is the codename for a generation of AMD EPYC server processors based on the Zen 2 microarchitecture, known for significant improvements in performance and efficiency over its predecessors.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107836c64819099d8f0f73e9b1a4c completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:37 p.m.