Triple

T16893231
Position Surface form Disambiguated ID Type / Status
Subject Rožnov Furrow E424227 entity
Predicate hasNameInLanguage P15 FINISHED
Object Rožnovská brázda E424227 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: Rožnovská brázda | Statement: [Rožnov Furrow, hasNameInLanguage, Rožnovská brázda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rožnovská brázda
Context triple: [Rožnov Furrow, hasNameInLanguage, Rožnovská brázda]
  • A. Jablunkov Furrow
    Jablunkov Furrow is a geomorphological depression in the Western Beskids that forms an important natural corridor and lowland area between surrounding mountain ranges in the Czech–Polish border region.
  • B. Rožnov Furrow chosen
    Rožnov Furrow is a geomorphological depression within the Western Beskids mountain range in Central Europe.
  • C. Rožňava
    Rožňava is a historic mining town in southern Slovakia known for its well-preserved medieval center and proximity to the Slovak Karst region.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc6b97c8190b18aca477d6ef647 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a7fd8481908ef82a13418b1c2d completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.