Triple

T17140871
Position Surface form Disambiguated ID Type / Status
Subject Silvius E415957 entity
Predicate hasVariant P455 FINISHED
Object Silvi E658453 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: Silvi | Statement: [Silvius, hasVariant, Silvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvi
Context triple: [Silvius, hasVariant, Silvi]
  • A. Silvi chosen
    Silvi is a Spanish diminutive form of the given name Silvia, typically used as an affectionate or informal nickname.
  • B. Silvi
    Silvi is a coastal municipality in the Abruzzo region of central Italy, known for its Adriatic beaches and tourism.
  • C. Silvan
    Silvan is a masculine given name of Latin origin, commonly used in German-speaking countries and derived from the word for "forest" or "woods."
  • D. Siele
    Siele is a small locality that forms part of the municipality of Enger in North Rhine-Westphalia, Germany.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d44a508190a3a149c3a64957f5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.