Triple

T6183023
Position Surface form Disambiguated ID Type / Status
Subject Zadar County E137988 entity
Predicate hasMunicipality P847 FINISHED
Object Preko
Preko is a coastal village and popular tourist municipality located on the island of Ugljan in Croatia’s Zadar County.
E573944 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: Preko | Statement: [Zadar County, hasMunicipality, Preko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preko
Context triple: [Zadar County, hasMunicipality, Preko]
  • A. Peille
    Peille is a historic hilltop village in southeastern France, known for its medieval architecture and panoramic views over the Alpes-Maritimes region.
  • B. Paraćin
    Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
  • C. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • D. Prosotsani
    Prosotsani is a town and municipality in northern Greece, situated in the Drama regional unit of Eastern Macedonia and Thrace.
  • E. Prievidza
    Prievidza is a historic town in central Slovakia known for its proximity to the spa town Bojnice and its role as a regional economic and cultural center.
  • 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: Preko
Triple: [Zadar County, hasMunicipality, Preko]
Generated description
Preko is a coastal village and popular tourist municipality located on the island of Ugljan in Croatia’s Zadar County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Preko
Target entity description: Preko is a coastal village and popular tourist municipality located on the island of Ugljan in Croatia’s Zadar County.
  • A. Peille
    Peille is a historic hilltop village in southeastern France, known for its medieval architecture and panoramic views over the Alpes-Maritimes region.
  • B. Paraćin
    Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
  • C. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • D. Prosotsani
    Prosotsani is a town and municipality in northern Greece, situated in the Drama regional unit of Eastern Macedonia and Thrace.
  • E. Prievidza
    Prievidza is a historic town in central Slovakia known for its proximity to the spa town Bojnice and its role as a regional economic and cultural center.
  • 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.