Triple

T18020058
Position Surface form Disambiguated ID Type / Status
Subject Zakynthos regional unit E431092 entity
Predicate contains P35 FINISHED
Object Tsilivi NE NERFINISHED

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: Tsilivi | Statement: [Zakynthos regional unit, contains, Tsilivi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsilivi
Context triple: [Zakynthos regional unit, contains, Tsilivi]
  • A. Tsilivi chosen
    Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
  • B. Kivili
    Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
  • C. Orahili
    Orahili is a traditional village on Indonesia’s Nias Island known for its distinctive vernacular architecture and preserved local customs.
  • D. Metlili
    Metlili is a town and commune in northern Algeria known for its location within the M'zab region and its traditional Saharan oasis culture.
  • E. Tsorona
    Tsorona is a town in the Tigray region of northern Ethiopia, near the Eritrean border, known for being a strategic site in the Eritrean–Ethiopian conflicts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c1c5f88190a059ce4f86f7ed36 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.