Triple

T2769155
Position Surface form Disambiguated ID Type / Status
Subject Ulyanovsk Oblast E61410 entity
Predicate containsCity P294 FINISHED
Object Dimitrovgrad
Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
 E314964 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: Dimitrovgrad | Statement: [Ulyanovsk Oblast, containsCity, Dimitrovgrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Context triple: [Ulyanovsk Oblast, containsCity, Dimitrovgrad]
  • A. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • B. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • C. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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: Dimitrovgrad
Triple: [Ulyanovsk Oblast, containsCity, Dimitrovgrad]
Generated description
Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dimitrovgrad
Target entity description: Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • A. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • B. Chistopol
    Chistopol is a historic industrial town in Russia’s Tatarstan region, known for its watchmaking industry and location along the Kama River.
  • C. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc4702348190bb0ca7426928ac52 completed March 11, 2026, 5:23 a.m.
NEDg Description generation batch_69b1016b00e88190be4f7a29a88fe2c3 completed March 11, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69b1028305a88190ae83d421a83440fd completed March 11, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:57 p.m.