Triple

T16644036
Position Surface form Disambiguated ID Type / Status
Subject Kipoi E404417 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Zagori E93429 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: Zagori | Statement: [Kipoi, hasCulturalRegion, Zagori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zagori
Context triple: [Kipoi, hasCulturalRegion, Zagori]
  • A. Zagori chosen
    Zagori is a mountainous region in northwestern Greece renowned for its traditional stone villages, arched bridges, and dramatic natural landscapes within Epirus.
  • B. Zagori
    Zagori is a mountainous village area in southern Albania known for its traditional stone architecture, natural landscapes, and cultural heritage.
  • 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. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • E. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad3b12c8190a32e33d9ecff9dae completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014136275c819084da2756632e0f48 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:18 a.m.