Triple

T14059804
Position Surface form Disambiguated ID Type / Status
Subject Nógrád County E338312 entity
Predicate containsSettlement P847 FINISHED
Object Salgótarján E815337 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: Salgótarján | Statement: [Nógrád County, containsSettlement, Salgótarján]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salgótarján
Context triple: [Nógrád County, containsSettlement, Salgótarján]
  • A. Salgótarján chosen
    Salgótarján is a city in northern Hungary known for its industrial heritage and location in a valley surrounded by the Cserhát and Mátra hills.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Sárbogárd
    Sárbogárd is a small town in central Hungary known for its agricultural surroundings and role as a local transport hub within Fejér County.
  • D. Jánossomorja
    Jánossomorja is a small town in northwestern Hungary, near the Austrian border, known for its agricultural surroundings and cross-border connections.
  • E. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • 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_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.