Triple

T16201882
Position Surface form Disambiguated ID Type / Status
Subject Vradeto E393220 entity
Predicate nearbySettlement P350 FINISHED
Object Kapesovo E394391 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: Kapesovo | Statement: [Vradeto, nearbySettlement, Kapesovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapesovo
Context triple: [Vradeto, nearbySettlement, Kapesovo]
  • A. Kapesovo chosen
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • B. Karanovac
    Karanovac is the former name of the Serbian city now known as Kraljevo.
  • C. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270b84408190bfbf68f32bfc5b1a completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017a90be08190bd9fb64abd424e1e completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:03 a.m.