Triple

T14752813
Position Surface form Disambiguated ID Type / Status
Subject Sevan E346652 entity
Predicate formerName P65 FINISHED
Object Yelenovka
Yelenovka is the former name of the town now known as Sevan in Armenia, located near Lake Sevan.
 E1117429 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: Yelenovka | Statement: [Sevan, formerName, Yelenovka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yelenovka
Context triple: [Sevan, formerName, Yelenovka]
  • A. Vladimirovka
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • B. Ruzaevka
    Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
  • C. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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: Yelenovka
Triple: [Sevan, formerName, Yelenovka]
Generated description
Yelenovka is the former name of the town now known as Sevan in Armenia, located near Lake Sevan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yelenovka
Target entity description: Yelenovka is the former name of the town now known as Sevan in Armenia, located near Lake Sevan.
  • A. Vladimirovka
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • B. Ruzaevka
    Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
  • C. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
NEDg Description generation batch_69fdfde8ed30819083600cdac241675e completed May 8, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69fdfe969a6081908f4ebec0f6538811 completed May 8, 2026, 3:17 p.m.
Created at: April 10, 2026, 1:30 a.m.