Triple

T6183037
Position Surface form Disambiguated ID Type / Status
Subject Zadar County E137988 entity
Predicate hasIsland P970 FINISHED
Object Premuda
Premuda is a small Croatian island in the Adriatic Sea, known for its clear waters, diving sites, and tranquil, sparsely populated environment.
 E573955 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: Premuda | Statement: [Zadar County, hasIsland, Premuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Premuda
Context triple: [Zadar County, hasIsland, Premuda]
  • A. Petrovichi
    Petrovichi is a small rural locality in present-day Smolensk Oblast, Russia, best known as the birthplace of science fiction writer Isaac Asimov.
  • B. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • E. Njeguši
    Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • 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: Premuda
Triple: [Zadar County, hasIsland, Premuda]
Generated description
Premuda is a small Croatian island in the Adriatic Sea, known for its clear waters, diving sites, and tranquil, sparsely populated environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Premuda
Target entity description: Premuda is a small Croatian island in the Adriatic Sea, known for its clear waters, diving sites, and tranquil, sparsely populated environment.
  • A. Petrovichi
    Petrovichi is a small rural locality in present-day Smolensk Oblast, Russia, best known as the birthplace of science fiction writer Isaac Asimov.
  • B. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • E. Njeguši
    Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c14426f414819084bd3bafa81d6c00 completed March 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c144b45a148190a95095d7141ddeb0 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:19 p.m.