Triple

T16549281
Position Surface form Disambiguated ID Type / Status
Subject Сыктывкар E402026 entity
Predicate locatedOnRiver P165 FINISHED
Object Сысола
Сысола — река в Республике Коми на северо-востоке европейской части России, являющаяся одним из притоков Вычегды.
 E1219389 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: Сысола | Statement: [Сыктывкар, locatedOnRiver, Сысола]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Сысола
Context triple: [Сыктывкар, locatedOnRiver, Сысола]
  • A. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Kuibysheve
    Kuibysheve is a rural settlement located within Bakhchisarai Raion on the Crimean Peninsula.
  • E. Lesnaya
    Lesnaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
  • 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: Сысола
Triple: [Сыктывкар, locatedOnRiver, Сысола]
Generated description
Сысола — река в Республике Коми на северо-востоке европейской части России, являющаяся одним из притоков Вычегды.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Сысола
Target entity description: Сысола — река в Республике Коми на северо-востоке европейской части России, являющаяся одним из притоков Вычегды.
  • A. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Kuibysheve
    Kuibysheve is a rural settlement located within Bakhchisarai Raion on the Crimean Peninsula.
  • E. Lesnaya
    Lesnaya is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.