Triple

T22583161
Position Surface form Disambiguated ID Type / Status
Subject Monte Mario E544616 entity
Predicate near P350 FINISHED
Object Prati district NE NERFINISHED

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: Prati district | Statement: [Monte Mario, near, Prati district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prati district
Context triple: [Monte Mario, near, Prati district]
  • A. Prati district chosen
    Prati district is an elegant central neighborhood in Rome known for its wide boulevards, upscale shops, and proximity to the Vatican.
  • B. Suruh District
    Suruh District is an administrative subdistrict within Semarang Regency in Central Java, Indonesia, comprising several rural villages and local communities.
  • C. Dausa district
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • D. Praya District
    Praya District is an administrative and urban center area on the island of Lombok in Indonesia, serving as the capital and main hub of Central Lombok Regency.
  • E. Anra District
    Anra District is an administrative district located within Huari Province in the Ancash Region of Peru.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff26d6481908cc058f8c4b87e75 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.