Triple

T875105
Position Surface form Disambiguated ID Type / Status
Subject Verkhovna Rada E18899 entity
Predicate shortName P43 FINISHED
Object Rada
Rada is the commonly used short name for Ukraine’s unicameral national parliament, the Verkhovna Rada.
 E103988 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: Rada | Statement: [Verkhovna Rada, shortName, Rada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rada
Context triple: [Verkhovna Rada, shortName, Rada]
  • A. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Lineyte-Samarnon
    Lineyte-Samarnon is an alternative name for the Waray language, an Austronesian language spoken in the Eastern Visayas region of the Philippines.
  • D. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • E. Massandra
    Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
  • 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: Rada
Triple: [Verkhovna Rada, shortName, Rada]
Generated description
Rada is the commonly used short name for Ukraine’s unicameral national parliament, the Verkhovna Rada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rada
Target entity description: Rada is the commonly used short name for Ukraine’s unicameral national parliament, the Verkhovna Rada.
  • A. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • B. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • C. Lineyte-Samarnon
    Lineyte-Samarnon is an alternative name for the Waray language, an Austronesian language spoken in the Eastern Visayas region of the Philippines.
  • D. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • E. Massandra
    Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acae12948190923d31966c26a130 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8520a008190a15bdb93e8ce2438 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b9774df881908fbd4d1b54442cdc completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba46a2ec8190892404cb1f259cf0 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.