Triple

T7359404
Position Surface form Disambiguated ID Type / Status
Subject French invasion of Naples (1806) E169706 entity
Predicate location 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: [French invasion of Naples (1806), location, Naples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples
Context triple: [French invasion of Naples (1806), location, 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. Naples
    Naples is the first-generation AMD EPYC server processor family based on the Zen microarchitecture, designed for high-core-count, data center, and enterprise workloads.
  • C. 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.
  • D. Neapoli
    Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
  • E. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13db3488190ad35725c4fc60ffe completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab0247081909c25a8d14fa07fd4 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.