Triple

T15770231
Position Surface form Disambiguated ID Type / Status
Subject Tashauz E382331 entity
Predicate alternativeTransliterationOf P5923 FINISHED
Object Tašauz
Tašauz is a city in northern Turkmenistan, historically known as Tashauz and now officially called Daşoguz, serving as the administrative center of Daşoguz Province.
 E1175254 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: Tašauz | Statement: [Tashauz, alternativeTransliterationOf, Tašauz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tašauz
Context triple: [Tashauz, alternativeTransliterationOf, Tašauz]
  • A. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • B. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • C. Bauska
    Bauska is a historic town in southern Latvia known for its medieval castle and location at the confluence of the Mūsa and Mēmele rivers, which form the Lielupe.
  • D. Jaunsari
    Jaunsari is an Indo-Aryan language spoken by the Jaunsari people in the Jaunsar-Bawar region of northern India.
  • E. Rietavas
    Rietavas is a historic town in western Lithuania, known as one of the main centers of the Samogitian region.
  • 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: Tašauz
Triple: [Tashauz, alternativeTransliterationOf, Tašauz]
Generated description
Tašauz is a city in northern Turkmenistan, historically known as Tashauz and now officially called Daşoguz, serving as the administrative center of Daşoguz Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tašauz
Target entity description: Tašauz is a city in northern Turkmenistan, historically known as Tashauz and now officially called Daşoguz, serving as the administrative center of Daşoguz Province.
  • A. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • B. Cēsis
    Cēsis is a historic town in northern Latvia known for its medieval castle, well-preserved old town, and role in Latvian cultural and national history.
  • C. Bauska
    Bauska is a historic town in southern Latvia known for its medieval castle and location at the confluence of the Mūsa and Mēmele rivers, which form the Lielupe.
  • D. Jaunsari
    Jaunsari is an Indo-Aryan language spoken by the Jaunsari people in the Jaunsar-Bawar region of northern India.
  • E. Rietavas
    Rietavas is a historic town in western Lithuania, known as one of the main centers of the Samogitian region.
  • 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_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.
NEDg Description generation batch_69ff885d33708190adb157afa7dc2e07 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff8948cc68819085c3953226236394 completed May 9, 2026, 7:21 p.m.
Created at: April 10, 2026, 4:47 a.m.