Triple

T6183030
Position Surface form Disambiguated ID Type / Status
Subject Zadar County E137988 entity
Predicate hasIsland P970 FINISHED
Object Ugljan
Ugljan is a Croatian Adriatic island known for its olive groves, picturesque coastal villages, and proximity to the city of Zadar.
 E573950 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: Ugljan | Statement: [Zadar County, hasIsland, Ugljan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ugljan
Context triple: [Zadar County, hasIsland, Ugljan]
  • A. Učka
    Učka is a mountain range in western Croatia known for its forested peaks, hiking trails, and panoramic views over the Istrian Peninsula and the Adriatic Sea.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • 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. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • 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: Ugljan
Triple: [Zadar County, hasIsland, Ugljan]
Generated description
Ugljan is a Croatian Adriatic island known for its olive groves, picturesque coastal villages, and proximity to the city of Zadar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ugljan
Target entity description: Ugljan is a Croatian Adriatic island known for its olive groves, picturesque coastal villages, and proximity to the city of Zadar.
  • A. Učka
    Učka is a mountain range in western Croatia known for its forested peaks, hiking trails, and panoramic views over the Istrian Peninsula and the Adriatic Sea.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • 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. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • E. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • 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.