Triple

T6865623
Position Surface form Disambiguated ID Type / Status
Subject S-200 Angara/Vega/Dubna E158392 entity
Predicate usedBy P260 FINISHED
Object Bulgaria E9949 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: Bulgaria | Statement: [S-200 Angara/Vega/Dubna, usedBy, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgaria
Context triple: [S-200 Angara/Vega/Dubna, usedBy, Bulgaria]
  • A. Bulgaria chosen
    Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of the European Union and NATO.
  • B. Romania and Bulgaria
    Romania and Bulgaria are neighboring countries in Southeastern Europe that share a historically contested border and are both members of the European Union and NATO.
  • C. Bulga
    Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • D. Greece and Bulgaria
    Greece and Bulgaria are neighboring Balkan countries whose modern territorial boundaries were significantly shaped by the post–Second Balkan War settlement.
  • E. Serbia and Bulgaria
    Serbia and Bulgaria are neighboring Balkan countries in Southeast Europe whose modern boundary was shaped by early 20th-century conflicts and diplomatic agreements.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d88c48f08190b9afba97b19d8605 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b5a7c08190983bd355a1bc76d7 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:21 p.m.