Triple

T19769892
Position Surface form Disambiguated ID Type / Status
Subject Monodendri E474856 entity
Predicate locatedIn P40 FINISHED
Object Zagori 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: Zagori | Statement: [Monodendri, locatedIn, Zagori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zagori
Context triple: [Monodendri, locatedIn, Zagori]
  • A. Zagori
    Zagori is a mountainous village area in southern Albania known for its traditional stone architecture, natural landscapes, and cultural heritage.
  • B. Zagori chosen
    Zagori is a mountainous region in northwestern Greece renowned for its traditional stone villages, arched bridges, and dramatic natural landscapes within Epirus.
  • C. Tsigrado
    Tsigrado is a small, secluded cove beach on the Greek island of Milos, known for its dramatic cliffs, turquoise waters, and access via a steep ladder descent.
  • D. Kalofer
    Kalofer is a historic Bulgarian town in the Rose Valley, known as the birthplace of national revolutionary and poet Hristo Botev.
  • E. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ab298819085263dc37cc898cb completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.