Triple

T16327403
Position Surface form Disambiguated ID Type / Status
Subject Danube–Black Sea Canal E396458 entity
Predicate terminus P388 FINISHED
Object Năvodari E839843 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: Năvodari | Statement: [Danube–Black Sea Canal, terminus, Năvodari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Năvodari
Context triple: [Danube–Black Sea Canal, terminus, Năvodari]
  • A. Năvodari chosen
    Năvodari is a coastal town and resort on the Black Sea in southeastern Romania, known for its beaches and proximity to the port city of Constanța.
  • B. Rădăuți
    Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
  • C. Râșnov
    Râșnov is a Romanian town in Transylvania best known for its medieval hilltop fortress and scenic location near Brașov and the Carpathian Mountains.
  • D. Rășinari
    Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
  • E. Drăgășani
    Drăgășani is a town in southern Romania known for its long-standing wine-making tradition and vineyards.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dcd034819081d849003d918245 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260f487c81909e3e54e47c11b83a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.