Triple

T22946878
Position Surface form Disambiguated ID Type / Status
Subject Duma E569897 entity
Predicate title P38 FINISHED
Object Duma
Duma is the lower house of the Federal Assembly of Russia, serving as the country’s national legislature and primary lawmaking body.
E1564208 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: Duma | Statement: [Duma, title, Duma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duma
Context triple: [Duma, title, Duma]
  • A. Duma
    Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
  • B. Duma
    Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
  • C. Stalinets
    Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
  • D. Svechin
    Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
  • E. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • 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: Duma
Triple: [Duma, title, Duma]
Generated description
Duma is the lower house of the Federal Assembly of Russia, serving as the country’s national legislature and primary lawmaking body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duma
Target entity description: Duma is the lower house of the Federal Assembly of Russia, serving as the country’s national legislature and primary lawmaking body.
  • A. Duma
    Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
  • B. Duma
    Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
  • C. Stalinets
    Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
  • D. Svechin
    Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
  • E. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819e559c81909e63acfc23f9476b completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca1437d081909227488e480a69a5 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcca3edf081908254a31bb0f5576e completed May 19, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcd53eecc81909ac4ec82da07bc6b completed May 19, 2026, 2:39 a.m.
Created at: April 17, 2026, 3:46 p.m.