Triple

T6050202
Position Surface form Disambiguated ID Type / Status
Subject Chișinău E134770 entity
Predicate hasSubdivision P747 FINISHED
Object Rîșcani sector
Rîșcani sector is an administrative district of Chișinău, the capital city of Moldova.
E568152 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: Rîșcani sector | Statement: [Chișinău, hasSubdivision, Rîșcani sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rîșcani sector
Context triple: [Chișinău, hasSubdivision, Rîșcani sector]
  • A. Ciocana sector
    Ciocana sector is an administrative district of Chișinău, the capital city of Moldova, known for its residential neighborhoods and industrial areas.
  • B. Buiucani sector
    Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
  • C. Giurgiulești
    Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
  • D. Rășinari
    Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
  • E. Rădăuți
    Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
  • 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: Rîșcani sector
Triple: [Chișinău, hasSubdivision, Rîșcani sector]
Generated description
Rîșcani sector is an administrative district of Chișinău, the capital city of Moldova.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rîșcani sector
Target entity description: Rîșcani sector is an administrative district of Chișinău, the capital city of Moldova.
  • A. Ciocana sector
    Ciocana sector is an administrative district of Chișinău, the capital city of Moldova, known for its residential neighborhoods and industrial areas.
  • B. Buiucani sector
    Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
  • C. Giurgiulești
    Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
  • D. Rășinari
    Rășinari is a traditional Transylvanian village in Sibiu County, Romania, known for its pastoral setting and as the birthplace of philosopher Emil Cioran.
  • E. Rădăuți
    Rădăuți is a historic town in northeastern Romania known for its cultural heritage and proximity to the painted monasteries of Bukovina.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f4f84c8190a7e2416d81b3554c completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251d9bbc8190b9544e93dc268787 completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c1267679e0819085dd655ea85cecbd completed March 23, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69c127061d948190b1e27fae3f8b4604 completed March 23, 2026, 11:41 a.m.
Created at: March 22, 2026, 4:09 p.m.