Triple

T4811533
Position Surface form Disambiguated ID Type / Status
Subject Brač E107078 entity
Predicate hasSettlement P1068 FINISHED
Object Škrip
Škrip is a historic village on the Croatian island of Brač, known as one of its oldest settlements and for its traditional stone architecture and cultural heritage.
E473212 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: Škrip | Statement: [Brač, hasSettlement, Škrip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Škrip
Context triple: [Brač, hasSettlement, Škrip]
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Tupikov
    Tupikov is a Russian surname most notably associated with Vasiliy Tupikov, a Soviet military figure.
  • C. Tupolski
    Tupolski is a hard-edged, morally ambiguous police detective in Martin McDonagh’s dark play "The Pillowman," known for his interrogations and psychological manipulation.
  • D. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • E. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • 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: Škrip
Triple: [Brač, hasSettlement, Škrip]
Generated description
Škrip is a historic village on the Croatian island of Brač, known as one of its oldest settlements and for its traditional stone architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Škrip
Target entity description: Škrip is a historic village on the Croatian island of Brač, known as one of its oldest settlements and for its traditional stone architecture and cultural heritage.
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Tupikov
    Tupikov is a Russian surname most notably associated with Vasiliy Tupikov, a Soviet military figure.
  • C. Tupolski
    Tupolski is a hard-edged, morally ambiguous police detective in Martin McDonagh’s dark play "The Pillowman," known for his interrogations and psychological manipulation.
  • D. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • E. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c7d168481908efd9d28b35e4bae completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dae0008819089c54a3815e578bc completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be501fd0d8819090806aaf6db04945 completed March 21, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69be51951fe8819080a581c8f75147a5 completed March 21, 2026, 8:06 a.m.
Created at: March 20, 2026, 1:23 p.m.