Triple

T15770261
Position Surface form Disambiguated ID Type / Status
Subject Dashoguz E382332 entity
Predicate formerName P65 FINISHED
Object Dashkhovuz E382332 NE FINISHED

How this triple was built (2 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, formerName, Dashkhovuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashkhovuz
Context triple: [Dashoguz, formerName, Dashkhovuz]
  • A. Dashkhovuz chosen
    Dashkhovuz is the former name of Dashoguz, a major city in northern Turkmenistan known as a regional administrative and economic center.
  • B. Uchkuduk
    Uchkuduk is a town in central Uzbekistan known for its uranium mining industry and location within the Kyzylkum Desert.
  • C. 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.
  • D. 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.
  • E. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051962fe08190a6201dd48196a9ee completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877c5ae88190aeb500bb5f0d73f7 completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.