Triple

T5888229
Position Surface form Disambiguated ID Type / Status
Subject Dimităr Peshev E130921 entity
Predicate placeOfBirth P1 FINISHED
Object Kyustendil, Bulgaria E428461 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: Kyustendil, Bulgaria | Statement: [Dimităr Peshev, placeOfBirth, Kyustendil, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyustendil, Bulgaria
Context triple: [Dimităr Peshev, placeOfBirth, Kyustendil, Bulgaria]
  • 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. Boyana, Sofia
    Boyana, Sofia is a prestigious residential neighborhood at the foot of Vitosha Mountain in Sofia, Bulgaria, known for its natural scenery, affluent homes, and cultural landmarks.
  • C. Pazardzhik, Bulgaria
    Pazardzhik is a city in southern Bulgaria known as a regional administrative and cultural center on the banks of the Maritsa River.
  • D. Kazanlak
    Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
  • E. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b141a93081908ad4a64f9a96dce4 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.