Triple

T4700544
Position Surface form Disambiguated ID Type / Status
Subject Krk E104257 entity
Predicate hasTown P847 FINISHED
Object Vrbnik
Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
E464309 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: Vrbnik | Statement: [Krk, hasTown, Vrbnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vrbnik
Context triple: [Krk, hasTown, Vrbnik]
  • A. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • B. Plješevica
    Plješevica is a prominent mountain range in the Dinaric Alps, straddling the border region between Croatia and Bosnia and Herzegovina.
  • C. Brčko
    Brčko is a city in northeastern Bosnia and Herzegovina, known for its strategic location on the Sava River and its status as a self-governing district.
  • D. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • E. Vipava Valley
    Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
  • 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: Vrbnik
Triple: [Krk, hasTown, Vrbnik]
Generated description
Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vrbnik
Target entity description: Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
  • A. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • B. Plješevica
    Plješevica is a prominent mountain range in the Dinaric Alps, straddling the border region between Croatia and Bosnia and Herzegovina.
  • C. Brčko
    Brčko is a city in northeastern Bosnia and Herzegovina, known for its strategic location on the Sava River and its status as a self-governing district.
  • D. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • E. Vipava Valley
    Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
  • 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_69be1062fa8c81909263e6757ef7c2d5 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be1485bcf0819096693abc5fbf34e3 completed March 21, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69be153db02881908a28b3ede1fdcb54 completed March 21, 2026, 3:49 a.m.
Created at: March 20, 2026, 1:17 p.m.