Triple

T3424637
Position Surface form Disambiguated ID Type / Status
Subject Transylvania E72198 entity
Predicate containsCity P294 FINISHED
Object Bistrița E292702 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: Bistrița | Statement: [Transylvania, containsCity, Bistrița]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bistrița
Context triple: [Transylvania, containsCity, Bistrița]
  • A. Bistrița chosen
    Bistrița is a historic town in northern Transylvania, Romania, known for its medieval architecture and long-standing Transylvanian Saxon heritage.
  • B. Dâmbovița River
    The Dâmbovița River is a central Romanian waterway that flows through and historically shaped the development of Bucharest.
  • C. Arieș River
    The Arieș River is a significant river in western Romania that flows through the Apuseni Mountains and the historical region of Transylvania.
  • D. Olteț River
    The Olteț River is a tributary watercourse in southern Romania that flows through several counties before joining the larger Olt River.
  • E. Bârlad River
    The Bârlad River is a significant river in eastern Romania that flows through the historical region of Moldavia before joining the Prut River.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb97fa2d88190a79cb8c7be4b3696 completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547468b8819088e7c4cf3b2e2079 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.