Triple

T19364978
Position Surface form Disambiguated ID Type / Status
Subject Southern Bulgaria E484377 entity
Predicate hasMajorCity P316 FINISHED
Object Kyustendil 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: Kyustendil | Statement: [Southern Bulgaria, hasMajorCity, Kyustendil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyustendil
Context triple: [Southern Bulgaria, hasMajorCity, Kyustendil]
  • A. Kyustendil chosen
    Kyustendil is a historic town and spa resort in western Bulgaria, known for its mineral springs, Roman and medieval heritage, and proximity to the Osogovo Mountains.
  • B. Krumovgrad
    Krumovgrad is a small town in southern Bulgaria known for its proximity to the Rhodope Mountains and its role as a local administrative and economic center.
  • C. Vratsa
    Vratsa is a city in northwestern Bulgaria known as an industrial and cultural center near the Balkan Mountains.
  • D. Dobrinishte
    Dobrinishte is a small Bulgarian mountain town and spa resort in the Pirin Mountains, known for its mineral springs and as a gateway to hiking and skiing areas.
  • E. Butovo
    Butovo is a residential district in the southern part of Moscow, Russia, known for its large housing estates and rapid post-Soviet urban development.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.