Triple

T14059901
Position Surface form Disambiguated ID Type / Status
Subject Eger E338315 entity
Predicate river P165 FINISHED
Object Eger-patak E338315 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: Eger-patak | Statement: [Eger, river, Eger-patak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eger-patak
Context triple: [Eger, river, Eger-patak]
  • A. Eperjes
    Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
  • B. Eger chosen
    Eger is a historic city in northern Hungary known for its baroque architecture, castle, and wine culture.
  • C. Eger
    Eger is the former German name for the Czech town of Cheb, a historic settlement near the German border in western Bohemia.
  • D. Egling
    Egling is a rural Bavarian municipality located in southern Germany, known for its scenic landscapes and proximity to the Alps.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.