Triple

T9766921
Position Surface form Disambiguated ID Type / Status
Subject Ivan Danilovich Chernyakhovsky E237016 entity
Predicate placeOfBirth P1 FINISHED
Object Uman
Uman is a historic city in central Ukraine known for its cultural heritage and the famous Sofiyivka Park.
 E819910 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: Uman | Statement: [Ivan Danilovich Chernyakhovsky, placeOfBirth, Uman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uman
Context triple: [Ivan Danilovich Chernyakhovsky, placeOfBirth, Uman]
  • A. Urum
    Urum is a Turkic language historically spoken by certain Greek communities, particularly in parts of Ukraine and the Caucasus.
  • B. Yuman
    Yuman is a Native American language family of the southwestern United States and northwestern Mexico, encompassing several related indigenous languages and peoples.
  • C. Gagra
    Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
  • D. Uchali
    Uchali, also known as Uluch Ali, was a prominent 16th-century Ottoman admiral and corsair who rose from captivity to become Kapudan Pasha (grand admiral) of the Ottoman fleet.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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: Uman
Triple: [Ivan Danilovich Chernyakhovsky, placeOfBirth, Uman]
Generated description
Uman is a historic city in central Ukraine known for its cultural heritage and the famous Sofiyivka Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uman
Target entity description: Uman is a historic city in central Ukraine known for its cultural heritage and the famous Sofiyivka Park.
  • A. Urum
    Urum is a Turkic language historically spoken by certain Greek communities, particularly in parts of Ukraine and the Caucasus.
  • B. Yuman
    Yuman is a Native American language family of the southwestern United States and northwestern Mexico, encompassing several related indigenous languages and peoples.
  • C. Gagra
    Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
  • D. Uchali
    Uchali, also known as Uluch Ali, was a prominent 16th-century Ottoman admiral and corsair who rose from captivity to become Kapudan Pasha (grand admiral) of the Ottoman fleet.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcfffa6081909f61c66357765d8d completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1bdacce648190a8dfbe5147cc70c6 completed April 5, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69d1be74b8cc8190a5961c863f85fa0e completed April 5, 2026, 1:44 a.m.
Created at: March 30, 2026, 8:25 p.m.