Triple

T20226848
Position Surface form Disambiguated ID Type / Status
Subject Kardzhali Dam E495405 entity
Predicate nearSettlement P3883 FINISHED
Object Kardzhali 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: Kardzhali | Statement: [Kardzhali Dam, nearSettlement, Kardzhali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kardzhali
Context triple: [Kardzhali Dam, nearSettlement, Kardzhali]
  • A. Kardzhali chosen
    Kardzhali is a town in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains, near the Arda River and the Kardzhali Reservoir.
  • B. Vratsa
    Vratsa is a city in northwestern Bulgaria known as an industrial and cultural center near the Balkan Mountains.
  • C. Yambol
    Yambol is a city in southeastern Bulgaria known for its location on the Tundzha River and its historical and cultural significance in the region.
  • D. Velbazhd
    Velbazhd is the historical name of the Bulgarian town of Kyustendil, known as the site of a major medieval battle between Serbian and Bulgarian forces.
  • E. Pazardzhik
    Pazardzhik is a city in southern Bulgaria known as a regional economic and cultural center in the Upper Thracian Plain.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fda9428819098467e7e8c547a07 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.