Triple

T6173468
Position Surface form Disambiguated ID Type / Status
Subject Nikopol E137760 entity
Predicate partOf P40 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: [Nikopol, partOf, Pleven Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleven Province
Context triple: [Nikopol, partOf, 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d94c47481909745b2533926a1ca completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef0f76881909d678010d0c064e7 completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:18 p.m.