Triple

T5105582
Position Surface form Disambiguated ID Type / Status
Subject Kherson Oblast E115083 entity
Predicate contains P35 FINISHED
Object Arabatska Strilka
Arabatska Strilka is a narrow sand spit in southern Ukraine that separates the Syvash lagoon from the Sea of Azov and is known for its beaches and mineral springs.
 E494253 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: Arabatska Strilka | Statement: [Kherson Oblast, contains, Arabatska Strilka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arabatska Strilka
Context triple: [Kherson Oblast, contains, Arabatska Strilka]
  • A. Strelna
    Strelna is a suburban settlement near Saint Petersburg, Russia, known for its historic palaces and role as an imperial residence area.
  • B. 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.
  • C. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • D. Strumitsa
    Strumitsa is a river in southeastern North Macedonia that flows through the city of Strumica before joining the Struma River.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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: Arabatska Strilka
Triple: [Kherson Oblast, contains, Arabatska Strilka]
Generated description
Arabatska Strilka is a narrow sand spit in southern Ukraine that separates the Syvash lagoon from the Sea of Azov and is known for its beaches and mineral springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arabatska Strilka
Target entity description: Arabatska Strilka is a narrow sand spit in southern Ukraine that separates the Syvash lagoon from the Sea of Azov and is known for its beaches and mineral springs.
  • A. Strelna
    Strelna is a suburban settlement near Saint Petersburg, Russia, known for its historic palaces and role as an imperial residence area.
  • B. 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.
  • C. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • D. Strumitsa
    Strumitsa is a river in southeastern North Macedonia that flows through the city of Strumica before joining the Struma River.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7589e40c8190a46e4a1b7142be14 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba95dbd48190a7d87f3af77424e0 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb5e60e08190b030f5eeaac49ab7 completed March 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bebd1f6e348190b61c89706b683ff3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:41 p.m.