Triple

T12384077
Position Surface form Disambiguated ID Type / Status
Subject Principality of Lucca and Piombino E295815 entity
Predicate namedAfter P63 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: [Principality of Lucca and Piombino, namedAfter, Lucca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucca
Context triple: [Principality of Lucca and Piombino, namedAfter, 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. Legnani
    Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef7fabc819090837c11c4c34651 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.