Triple

T19925511
Position Surface form Disambiguated ID Type / Status
Subject Giovanni di Nicolao di Arnolfini E478911 entity
Predicate placeOfOrigin P3743 FINISHED
Object Lucca 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: Lucca | Statement: [Giovanni di Nicolao di Arnolfini, placeOfOrigin, Lucca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucca
Context triple: [Giovanni di Nicolao di Arnolfini, placeOfOrigin, Lucca]
  • A. Lucca chosen
    Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
  • B. Veron
    Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
  • C. Terenzo
    Terenzo is a small municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and Apennine foothill setting.
  • D. Parla
    Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
  • E. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c992fc8190bd262d528be0e636 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.