Triple

T8109337
Position Surface form Disambiguated ID Type / Status
Subject Pleven E189307 entity
Predicate isSeatOf P62 FINISHED
Object Pleven Province E572984 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: Pleven Province | Statement: [Pleven, isSeatOf, Pleven Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleven Province
Context triple: [Pleven, isSeatOf, Pleven Province]
  • A. Pleven Province chosen
    Pleven Province is an administrative region in northern Bulgaria, known for its capital city Pleven and its location along the Danube River.
  • B. Razgrad Province
    Razgrad Province is an administrative region in northeastern Bulgaria known for its rich historical heritage, including the UNESCO-listed Thracian Tomb of Sveshtari.
  • C. Varna Province
    Varna Province is an administrative region in northeastern Bulgaria centered around the Black Sea port city of Varna.
  • D. Veliko Tarnovo Province
    Veliko Tarnovo Province is a central northern Bulgarian administrative region known for its historic capital Veliko Tarnovo and its location along the Yantra River.
  • E. Pazardzhik Province
    Pazardzhik Province is an administrative region in southern Bulgaria, known for its agricultural economy and the city of Pazardzhik as its capital.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe994fc881908a43cfdf9f28753c completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:32 p.m.