Triple

T13648963
Position Surface form Disambiguated ID Type / Status
Subject Ravello E326677 entity
Predicate near P350 FINISHED
Object Minori E385222 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: Minori | Statement: [Ravello, near, Minori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minori
Context triple: [Ravello, near, Minori]
  • A. Minori chosen
    Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
  • B. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • C. Minna
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • D. Minna
    Minna is a character in Honoré de Balzac’s mystical novel "Séraphîta," representing human love and devotion in contrast to the work’s spiritual and androgynous protagonist.
  • E. Miyuki
    Miyuki is a Japanese given name commonly used for women and associated with meanings such as "beautiful happiness" or "deep snow," depending on the kanji used.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc608466c81908f6d2c9c92cc86aa completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78afbf8948190ad38ea7529e52f16 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.