Triple

T1991410
Position Surface form Disambiguated ID Type / Status
Subject Sorrento E43258 entity
Predicate near P350 FINISHED
Object Naples E14805 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: Naples | Statement: [Sorrento, near, Naples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples
Context triple: [Sorrento, near, Naples]
  • A. Naples chosen
    Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
  • B. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • C. Palermo
    Palermo is the historic capital of Sicily, renowned for its rich multicultural heritage, including a significant medieval Jewish presence, and its blend of Arab-Norman architecture, vibrant markets, and coastal setting.
  • D. Palermo
    Palermo is a municipality in the Huila Department of southern Colombia, known for its agricultural activities and proximity to the departmental capital, Neiva.
  • E. Salerno
    Salerno is a historic port city in southern Italy, known for its strategic role in World War II Allied landings and its position on the Tyrrhenian Sea near the Amalfi Coast.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb846f1c0819081edd8d5eb59adce completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf046d388190a0224f76a4e13e08 completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:37 p.m.