Triple

T21120901
Position Surface form Disambiguated ID Type / Status
Subject Bulgaria at Kapıkule E520426 entity
Predicate continentConnection P47366 FINISHED
Object Europe–Asia 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: Europe–Asia | Statement: [Bulgaria at Kapıkule, continentConnection, Europe–Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europe–Asia
Context triple: [Bulgaria at Kapıkule, continentConnection, Europe–Asia]
  • A. Asia–Europe
    Asia–Europe is a major intercontinental shipping and trade route connecting key ports across the Asian and European continents.
  • B. Eurasia chosen
    Eurasia is the vast combined continental landmass of Europe and Asia, forming the largest continuous land area on Earth.
  • C. Euravia
    Euravia was the original name of the British charter airline that later became known as Britannia Airways.
  • D. Afro-Eurasia
    Afro-Eurasia is the vast continuous landmass comprising the continents of Africa, Europe, and Asia, forming the largest connected continental area on Earth.
  • E. Asya
    Asya is a common Russian diminutive form of the female given name Anastasia.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e722348fe08190a1f079b7b0b5dd14 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.