Triple

T10358871
Position Surface form Disambiguated ID Type / Status
Subject Chernivtsi Oblast E244077 entity
Predicate hasTown P847 FINISHED
Object Zastavna
Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
 E858598 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: Zastavna | Statement: [Chernivtsi Oblast, hasTown, Zastavna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zastavna
Context triple: [Chernivtsi Oblast, hasTown, Zastavna]
  • A. Stanca
    Stanca was the wife of Michael the Brave, the late 16th-century prince who briefly united Wallachia, Transylvania, and Moldavia.
  • B. Stavka
    Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
  • C. Zastava 102
    The Zastava 102 is a Yugoslav/Serbian supermini car produced by Zastava as a locally built and modified derivative of the Fiat 127.
  • D. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • E. Stupava
    Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
  • 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: Zastavna
Triple: [Chernivtsi Oblast, hasTown, Zastavna]
Generated description
Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zastavna
Target entity description: Zastavna is a small town in western Ukraine that serves as a local administrative and cultural center within Chernivtsi Oblast.
  • A. Stanca
    Stanca was the wife of Michael the Brave, the late 16th-century prince who briefly united Wallachia, Transylvania, and Moldavia.
  • B. Stavka
    Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
  • C. Zastava 102
    The Zastava 102 is a Yugoslav/Serbian supermini car produced by Zastava as a locally built and modified derivative of the Fiat 127.
  • D. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • E. Stupava
    Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e95708c481909c8c8cb2a57bf6d6 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b02ae48190898f9f97ab19ce60 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618ecb748190a492406eabe590d7 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77057affc8190b420e66560c3dfbd completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:59 a.m.