Triple

T15103131
Position Surface form Disambiguated ID Type / Status
Subject Nikolaevsky District E360718 entity
Predicate hasSettlement P1068 FINISHED
Object Mariinskoye
Mariinskoye is a rural settlement located within Nikolaevsky District in Russia.
E1137143 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: Mariinskoye | Statement: [Nikolaevsky District, hasSettlement, Mariinskoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariinskoye
Context triple: [Nikolaevsky District, hasSettlement, Mariinskoye]
  • A. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • B. Aniva Bay
    Aniva Bay is a coastal bay on the southeastern coast of Sakhalin Island in Russia, opening into the Sea of Okhotsk.
  • C. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • 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: Mariinskoye
Triple: [Nikolaevsky District, hasSettlement, Mariinskoye]
Generated description
Mariinskoye is a rural settlement located within Nikolaevsky District in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mariinskoye
Target entity description: Mariinskoye is a rural settlement located within Nikolaevsky District in Russia.
  • A. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • B. Aniva Bay
    Aniva Bay is a coastal bay on the southeastern coast of Sakhalin Island in Russia, opening into the Sea of Okhotsk.
  • C. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb06643508190a21939ff3e1389c6 completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb0d114388190b2b16703003da446 completed May 9, 2026, 3:58 a.m.
Created at: April 10, 2026, 3:05 a.m.