Triple

T7328648
Position Surface form Disambiguated ID Type / Status
Subject Pishpek E168939 entity
Predicate predecessorOf P97 FINISHED
Object Frunze
Frunze was the former name of Bishkek, the capital city of Kyrgyzstan, during the Soviet era.
 E168938 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: Frunze | Statement: [Pishpek, predecessorOf, Frunze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frunze
Context triple: [Pishpek, predecessorOf, Frunze]
  • A. Frunze
    Frunze is a surname most notably associated with Mikhail Frunze, a prominent Bolshevik leader and Red Army commander during the Russian Civil War.
  • B. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Frosta
    Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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: Frunze
Triple: [Pishpek, predecessorOf, Frunze]
Generated description
Frunze was the former name of Bishkek, the capital city of Kyrgyzstan, during the Soviet era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frunze
Target entity description: Frunze was the former name of Bishkek, the capital city of Kyrgyzstan, during the Soviet era.
  • A. Frunze chosen
    Frunze is a surname most notably associated with Mikhail Frunze, a prominent Bolshevik leader and Red Army commander during the Russian Civil War.
  • B. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Frosta
    Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • F. None of above.

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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a879b88190bef0fb6cbae411ff completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810cbd78c8190934dd5d4baa1a0a7 completed March 28, 2026, 5:33 p.m.
NEDg Description generation batch_69c811e0ebec8190b394b1a2ff6ac5bf completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8127599188190af3d049a0c6dd349 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:03 p.m.