Triple

T16030374
Position Surface form Disambiguated ID Type / Status
Subject Zakynthos (city) E388830 entity
Predicate near P350 FINISHED
Object Tsilivi E388834 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: Tsilivi | Statement: [Zakynthos (city), near, Tsilivi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsilivi
Context triple: [Zakynthos (city), near, 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. Sihala
    Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
  • E. Tisiway
    Tisiway is an alternative name for the Siwi language spoken by the Siwi (Siwa Oasis) Berber community in Egypt.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832b0f308190a23edfaf55f3ca25 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.