Triple

T17869499
Position Surface form Disambiguated ID Type / Status
Subject Red Church of Vourgareli E446794 entity
Predicate locatedIn P40 FINISHED
Object Vourgareli 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: Vourgareli | Statement: [Red Church of Vourgareli, locatedIn, Vourgareli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vourgareli
Context triple: [Red Church of Vourgareli, locatedIn, Vourgareli]
  • A. Vourgareli chosen
    Vourgareli is a traditional mountain village in the Tzoumerka region of Epirus, Greece, known for its natural beauty and historical stone architecture.
  • B. Vourvourou
    Vourvourou is a coastal village in northern Greece known for its scenic bays, clear waters, and proximity to the islands and beaches of the Sithonia peninsula in Halkidiki.
  • C. Vonitsa
    Vonitsa is a coastal town in western Greece, situated on the Ambracian Gulf and known for its Venetian castle and scenic waterfront.
  • D. Vourvoura
    Vourvoura is a mountain village in Arcadia, in the Peloponnese region of Greece, known for its traditional character and scenic natural surroundings.
  • E. Vamvakou
    Vamvakou is a small village in the vicinity of Farsala in central Greece.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa18df881908a8ff40b7de19268 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.