Triple

T19364966
Position Surface form Disambiguated ID Type / Status
Subject Southern Bulgaria E484377 entity
Predicate hasMajorCity P316 FINISHED
Object Svilengrad 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: Svilengrad | Statement: [Southern Bulgaria, hasMajorCity, Svilengrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svilengrad
Context triple: [Southern Bulgaria, hasMajorCity, Svilengrad]
  • A. Svilengrad chosen
    Svilengrad is a town in southern Bulgaria near the borders with Turkey and Greece, known as an important transport and border-crossing hub.
  • B. Delčevo
    Delčevo is a small town in eastern North Macedonia known as a local administrative and cultural center near the border with Bulgaria.
  • C. Momchilgrad
    Momchilgrad is a small town in southern Bulgaria known for its ethnically diverse population and location within the Rhodope Mountains region.
  • D. Prilep
    Prilep is a historic city in present-day North Macedonia known for its medieval fortresses, Ottoman-era architecture, and role as a regional cultural and economic center.
  • E. Gostivar
    Gostivar is a city in northwestern North Macedonia, known for its diverse population and location near the source of the Vardar River at the foot of the Šar Mountains.
  • 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.