Triple

T3109622
Position Surface form Disambiguated ID Type / Status
Subject Maritsa E64918 entity
Predicate country P26 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: [Maritsa, country, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgaria
Context triple: [Maritsa, country, 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. Greece and Bulgaria
    Greece and Bulgaria are neighboring Balkan countries whose modern territorial boundaries were significantly shaped by the post–Second Balkan War settlement.
  • D. 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.
  • E. North Macedonia
    North Macedonia is a landlocked Balkan country in Southeast Europe known for its mountainous landscapes, rich cultural heritage, and recent integration into Euro-Atlantic institutions.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5cfc7c8190b867794c0e9a271e completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.