Triple

T20314291
Position Surface form Disambiguated ID Type / Status
Subject DB Cargo E510339 entity
Predicate serviceArea P82 FINISHED
Object Romania 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: Romania | Statement: [DB Cargo, serviceArea, Romania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romania
Context triple: [DB Cargo, serviceArea, Romania]
  • A. Romania chosen
    Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
  • 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. Romania and Moldova
    Romania and Moldova are neighboring Eastern European countries that share deep historical, cultural, and linguistic ties, with much of Moldova’s territory having once formed part of historical Romanian lands.
  • D. Moldavia
    Moldavia was a historical principality in Eastern Europe, roughly corresponding to parts of modern Romania and Moldova, known for its medieval culture and long period of Ottoman suzerainty.
  • E. Moldova Nouă
    Moldova Nouă is a small town in western Romania, situated on the Danube River near the border with Serbia.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67745e2448190b5611382fe338bb2 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.