Triple

T6208104
Position Surface form Disambiguated ID Type / Status
Subject Ingushetia E138797 entity
Predicate hasCity P316 FINISHED
Object Malgobek
Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
 E575262 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: Malgobek | Statement: [Ingushetia, hasCity, Malgobek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malgobek
Context triple: [Ingushetia, hasCity, Malgobek]
  • A. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • D. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • E. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • 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: Malgobek
Triple: [Ingushetia, hasCity, Malgobek]
Generated description
Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malgobek
Target entity description: Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
  • A. Argobba
    Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • D. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • E. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d2bc0c448190b1ae105212f5c933 completed March 23, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1d33e93e48190a0962f69e7601160 completed March 23, 2026, 11:56 p.m.
Created at: March 22, 2026, 4:20 p.m.