Triple

T3059196
Position Surface form Disambiguated ID Type / Status
Subject Okhta River E60553 entity
Predicate hasNameInLanguage P15 FINISHED
Object Охта
Охта — это река на северо-западе России, протекающая через Санкт-Петербург и впадающая в Неву.
 E321932 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: Охта | Statement: [Okhta River, hasNameInLanguage, Охта]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Охта
Context triple: [Okhta River, hasNameInLanguage, Охта]
  • A. Khimki
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • B. Malaya Nevka
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • C. Versova
    Versova is a coastal neighborhood in Mumbai, India, known for its beach, fishing village, and role as a key residential and commercial hub in the city.
  • D. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • E. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • 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: Охта
Triple: [Okhta River, hasNameInLanguage, Охта]
Generated description
Охта — это река на северо-западе России, протекающая через Санкт-Петербург и впадающая в Неву.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Охта
Target entity description: Охта — это река на северо-западе России, протекающая через Санкт-Петербург и впадающая в Неву.
  • A. Khimki
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • B. Malaya Nevka
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • C. Versova
    Versova is a coastal neighborhood in Mumbai, India, known for its beach, fishing village, and role as a key residential and commercial hub in the city.
  • D. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • E. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e1741648190b710b7022252498d completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0b989c819094daaf222bf01d02 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efdd73188190b7a47fc2a1d627d1 completed March 11, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:02 p.m.