Triple

T2940789
Position Surface form Disambiguated ID Type / Status
Subject Naples Cathedral E79380 entity
Predicate city P40 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: [Naples Cathedral, city, Naples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples
Context triple: [Naples Cathedral, city, 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. Nápoles
    Nápoles is a middle- to upper-class residential and commercial neighborhood in Mexico City, known for its modern architecture, the World Trade Center complex, and a mix of offices, restaurants, and apartment buildings.
  • C. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • D. 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.
  • E. Palermo
    Palermo is a municipality in the Huila Department of southern Colombia, known for its agricultural activities and proximity to the departmental capital, Neiva.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986f38948190a636a826693a9d4f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108c7cfd48190b959e60b9e7fc0fa completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:56 p.m.