Triple

T4700547
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate hasSettlement P1068 FINISHED
Object Klimno
Klimno is a small coastal village and tourist resort on the island of Krk in Croatia, known for its sheltered bay and tranquil seaside atmosphere.
 E460110 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: Klimno | Statement: [Krk, hasSettlement, Klimno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klimno
Context triple: [Krk, hasSettlement, Klimno]
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • C. Eklingji
    Eklingji is a revered form of Lord Shiva worshipped as the tutelary deity and divine ruler of the Mewar kingdom in Rajasthan, India.
  • D. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • 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: Klimno
Triple: [Krk, hasSettlement, Klimno]
Generated description
Klimno is a small coastal village and tourist resort on the island of Krk in Croatia, known for its sheltered bay and tranquil seaside atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klimno
Target entity description: Klimno is a small coastal village and tourist resort on the island of Krk in Croatia, known for its sheltered bay and tranquil seaside atmosphere.
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • C. Eklingji
    Eklingji is a revered form of Lord Shiva worshipped as the tutelary deity and divine ruler of the Mewar kingdom in Rajasthan, India.
  • D. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cd447081908120ee1691009982 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ca24848190aa7df32472647cae completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04513ec081909d38f33de795402b completed March 21, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69be051027c88190a4f24ed5cb17b605 completed March 21, 2026, 2:40 a.m.
Created at: March 20, 2026, 1:17 p.m.