Triple

T14446385
Position Surface form Disambiguated ID Type / Status
Subject Rome Studies Program E358217 entity
Predicate location P40 FINISHED
Object Rome, Italy 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, Italy | Statement: [Rome Studies Program, location, Rome, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rome, Italy
Context triple: [Rome Studies Program, location, Rome, Italy]
  • 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 British-American animated television series created by Danger Mouse that blends surreal humor, espionage themes, and distinctive visual style.
  • C. Rome
    Rome is a city in northwestern Georgia, United States, known as a regional center for education, healthcare, and manufacturing in the Appalachian foothills.
  • 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 an opera by French composer Jules Massenet, known for its dramatic depiction of ancient Roman themes and its late-Romantic musical style.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a4bb308190a39ba037debee16e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:19 a.m.