Triple

T3703369
Position Surface form Disambiguated ID Type / Status
Subject Dashoguz E80833 entity
Predicate historicalName P65 FINISHED
Object Dashkhovuz
Dashkhovuz is the former name of Dashoguz, a major city in northern Turkmenistan known as a regional administrative and economic center.
 E382332 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: Dashkhovuz | Statement: [Dashoguz, historicalName, Dashkhovuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dashkhovuz
Context triple: [Dashoguz, historicalName, Dashkhovuz]
  • A. Kharimkotan
    Kharimkotan is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its large stratovolcano and history of explosive eruptions.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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: Dashkhovuz
Triple: [Dashoguz, historicalName, Dashkhovuz]
Generated description
Dashkhovuz is the former name of Dashoguz, a major city in northern Turkmenistan known as a regional administrative and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dashkhovuz
Target entity description: Dashkhovuz is the former name of Dashoguz, a major city in northern Turkmenistan known as a regional administrative and economic center.
  • A. Kharimkotan
    Kharimkotan is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its large stratovolcano and history of explosive eruptions.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • E. Gadzhiyevo
    Gadzhiyevo is a closed Russian naval town in Murmansk Oblast that serves as a major base for the Northern Fleet’s nuclear-powered submarines.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54925b48190b23d2a14ef825abc completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf822348190bf95f7d119c6265a completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4d1f486c48190b0206beb7f913eb0 completed March 14, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4d29d8b688190b6ece3d8d65bc16c completed March 14, 2026, 3:14 a.m.
Created at: March 8, 2026, 3:33 p.m.