Triple

T14090507
Position Surface form Disambiguated ID Type / Status
Subject Roger de Lauria E339116 entity
Predicate birthPlace P1 FINISHED
Object Lauria E993951 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: Lauria | Statement: [Roger de Lauria, birthPlace, Lauria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauria
Context triple: [Roger de Lauria, birthPlace, Lauria]
  • A. Lauria chosen
    Lauria is a town in the Basilicata region of southern Italy, historically notable as the birthplace of the medieval admiral Roger of Lauria.
  • B. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • C. Ostiano
    Ostiano is a small town in the Lombardy region of northern Italy, known as the birthplace of the Baroque painter Bartolomeo Manfredi.
  • D. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • E. Eraclea
    Eraclea is a small coastal town in northeastern Italy known for its beaches along the Adriatic Sea and its proximity to Venice.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf006f7481909149779de4d7cd2e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.