Triple

T16893236
Position Surface form Disambiguated ID Type / Status
Subject Rožnov Furrow E424227 entity
Predicate containsSettlement P847 FINISHED
Object Zubří
Zubří is a small town in the Zlín Region of the Czech Republic, known for its location in the hilly Moravian Wallachia area and its traditional cultural heritage.
E1240562 NE FINISHED

How this triple was built (4 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: Zubří | Statement: [Rožnov Furrow, containsSettlement, Zubří]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zubří
Context triple: [Rožnov Furrow, containsSettlement, Zubří]
  • A. Zubr
    Zubr is a renowned novel by Russian writer Daniil Granin that explores moral courage and scientific integrity through the life of a Soviet biologist.
  • B. Okoboji
    Okoboji is a popular resort community in northwest Iowa known for its clear glacial lakes, boating, and summer recreation.
  • C. Biard
    Biard is a commune in western France, near the city of Poitiers, known for hosting the regional Poitiers–Biard Airport.
  • D. Gavrio
    Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
  • E. Ushi
    Ushi is the affectionate nickname of Japanese professional football club Vissel Kobe, reflecting its local identity and fan culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zubří
Triple: [Rožnov Furrow, containsSettlement, Zubří]
Generated description
Zubří is a small town in the Zlín Region of the Czech Republic, known for its location in the hilly Moravian Wallachia area and its traditional cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zubří
Target entity description: Zubří is a small town in the Zlín Region of the Czech Republic, known for its location in the hilly Moravian Wallachia area and its traditional cultural heritage.
  • A. Zubr
    Zubr is a renowned novel by Russian writer Daniil Granin that explores moral courage and scientific integrity through the life of a Soviet biologist.
  • B. Okoboji
    Okoboji is a popular resort community in northwest Iowa known for its clear glacial lakes, boating, and summer recreation.
  • C. Biard
    Biard is a commune in western France, near the city of Poitiers, known for hosting the regional Poitiers–Biard Airport.
  • D. Gavrio
    Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
  • E. Ushi
    Ushi is the affectionate nickname of Japanese professional football club Vissel Kobe, reflecting its local identity and fan culture.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_6a00c8f445248190be5f3de196e40f1f completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00cd2bbd9881909f5e216cb6262a72 completed May 10, 2026, 6:23 p.m.
Created at: April 10, 2026, 5:29 a.m.