Triple

T12335416
Position Surface form Disambiguated ID Type / Status
Subject Leontini E294071 entity
Predicate modernLocation P8489 FINISHED
Object Lentini E918524 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: Lentini | Statement: [Leontini, modernLocation, Lentini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lentini
Context triple: [Leontini, modernLocation, Lentini]
  • A. Lentini chosen
    Lentini is a historic town in eastern Sicily, Italy, known for its ancient Greek origins and agricultural traditions.
  • B. Casarano
    Casarano is a town in the Salento area of southern Italy known for its historic architecture, religious festivals, and role as a local commercial and industrial center.
  • C. Cataldo
    Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
  • D. Cerignola
    Cerignola is a large agricultural and industrial town in Italy’s Apulia region, known especially for its olive production and location in the fertile Tavoliere plain.
  • E. Mazara del Vallo
    Mazara del Vallo is a historic fishing port and multicultural town on Sicily’s southwestern coast, known for its Arab-influenced old center and large Tunisian community.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef164508190bc311a8199cfbc70 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.