Triple

T10092350
Position Surface form Disambiguated ID Type / Status
Subject Constanța County E215372 entity
Predicate contains P35 FINISHED
Object Medgidia E269157 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: Medgidia | Statement: [Constanța County, contains, Medgidia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medgidia
Context triple: [Constanța County, contains, Medgidia]
  • A. Medgidia chosen
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • B. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • C. Monastyryshche
    Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • D. Ruciane-Nida
    Ruciane-Nida is a small town and popular lakeside tourist resort in northeastern Poland, known for its location amid the forests and lakes of the Masurian Lake District.
  • E. Nové Hrady
    Nové Hrady is a historic town in the Czech Republic known for its well-preserved castle and location near the Austrian border in the South Bohemian Region.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05c3c0c8190927580717429a4e5 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174109988190b703bb5b7c89c5c2 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:01 p.m.