Triple

T11382475
Position Surface form Disambiguated ID Type / Status
Subject KOVO E269630 entity
Predicate bordered P224 FINISHED
Object Romania E8777 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: Romania | Statement: [KOVO, bordered, Romania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romania
Context triple: [KOVO, bordered, 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
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556542ecc8190a8109c17944598ab completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:34 p.m.