Triple

T3647300
Position Surface form Disambiguated ID Type / Status
Subject Princess of Lucca and Piombino E77331 entity
Predicate capital P234 FINISHED
Object Lucca E97408 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: Lucca | Statement: [Princess of Lucca and Piombino, capital, Lucca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucca
Context triple: [Princess of Lucca and Piombino, capital, 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. Parla
    Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
  • D. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • E. Luins
    Luins is a small wine-producing municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic location near Lake Geneva.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c38f989c8190befc64db51041a53 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:24 p.m.