Triple

T2639930
Position Surface form Disambiguated ID Type / Status
Subject Astrakhan Oblast E62839 entity
Predicate hasCity P316 FINISHED
Object Znamensk
Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
 E286172 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: Znamensk | Statement: [Astrakhan Oblast, hasCity, Znamensk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Znamensk
Context triple: [Astrakhan Oblast, hasCity, Znamensk]
  • A. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • D. Kurskaya
    Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
  • E. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • 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: Znamensk
Triple: [Astrakhan Oblast, hasCity, Znamensk]
Generated description
Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Znamensk
Target entity description: Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
  • A. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • D. Kurskaya
    Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
  • E. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bd689481908568d35baac1e065 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99c237548190838559ccac95f1c5 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5938b48190820f37f2e2280438 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.