Triple

T12042377
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Semyonov-Tyan-Shansky E286693 entity
Predicate memberOf P10 FINISHED
Object Russian Geographical Society
The Russian Geographical Society is one of the world’s oldest geographical societies, dedicated to the exploration, mapping, and scientific study of Russia and surrounding regions.
E962234 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: Russian Geographical Society | Statement: [Pyotr Semyonov-Tyan-Shansky, memberOf, Russian Geographical Society]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian Geographical Society
Context triple: [Pyotr Semyonov-Tyan-Shansky, memberOf, Russian Geographical Society]
  • A. Russian Academy of Sciences
    The Russian Academy of Sciences is Russia’s leading state scientific institution, encompassing a wide network of research institutes across disciplines such as physics, earth sciences, and mathematics.
  • B. Siberian Branch of the Russian Academy of Sciences
    The Siberian Branch of the Russian Academy of Sciences is a major regional division of Russia’s national academy, coordinating and conducting fundamental and applied scientific research across Siberia.
  • C. Soviet Academy of Sciences
    The Soviet Academy of Sciences was the USSR’s highest scientific institution, overseeing and coordinating research across disciplines and playing a central role in major projects such as early space exploration.
  • D. Institute of Geography of RAS
    The Institute of Geography of RAS is a leading Russian research institution specializing in physical and human geography, environmental studies, and spatial analysis under the Russian Academy of Sciences.
  • E. Imperial Academy of Sciences in Saint Petersburg
    The Imperial Academy of Sciences in Saint Petersburg was the leading scientific institution of the Russian Empire, renowned in the 18th and 19th centuries as a major European center for research and scholarship.
  • 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: Russian Geographical Society
Triple: [Pyotr Semyonov-Tyan-Shansky, memberOf, Russian Geographical Society]
Generated description
The Russian Geographical Society is one of the world’s oldest geographical societies, dedicated to the exploration, mapping, and scientific study of Russia and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Russian Geographical Society
Target entity description: The Russian Geographical Society is one of the world’s oldest geographical societies, dedicated to the exploration, mapping, and scientific study of Russia and surrounding regions.
  • A. Russian Academy of Sciences
    The Russian Academy of Sciences is Russia’s leading state scientific institution, encompassing a wide network of research institutes across disciplines such as physics, earth sciences, and mathematics.
  • B. Siberian Branch of the Russian Academy of Sciences
    The Siberian Branch of the Russian Academy of Sciences is a major regional division of Russia’s national academy, coordinating and conducting fundamental and applied scientific research across Siberia.
  • C. Soviet Academy of Sciences
    The Soviet Academy of Sciences was the USSR’s highest scientific institution, overseeing and coordinating research across disciplines and playing a central role in major projects such as early space exploration.
  • D. Institute of Geography of RAS
    The Institute of Geography of RAS is a leading Russian research institution specializing in physical and human geography, environmental studies, and spatial analysis under the Russian Academy of Sciences.
  • E. Imperial Academy of Sciences in Saint Petersburg
    The Imperial Academy of Sciences in Saint Petersburg was the leading scientific institution of the Russian Empire, renowned in the 18th and 19th centuries as a major European center for research and scholarship.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49da728ec819080c349fd8d0ed62c completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564ed64008190bfbeaf0991a7c2b8 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.