Triple

T19573811
Position Surface form Disambiguated ID Type / Status
Subject Southern Uzbekistan E489794 entity
Predicate hasCity P316 FINISHED
Object Denau
Denau is a city in southern Uzbekistan known as a regional center near the border with Tajikistan.
E1383003 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: Denau | Statement: [Southern Uzbekistan, hasCity, Denau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denau
Context triple: [Southern Uzbekistan, hasCity, Denau]
  • A. Erkelenz
    Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
  • B. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • C. Riez
    Riez is a historic village in southeastern France known for its Roman ruins and location amid the lavender fields of the Valensole Plateau.
  • D. Beaufays
    Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
  • E. Planegg
    Planegg is a municipality in the district of Munich in Bavaria, Germany, known for its scenic location along the Würm River and its proximity to the city of Munich.
  • 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: Denau
Triple: [Southern Uzbekistan, hasCity, Denau]
Generated description
Denau is a city in southern Uzbekistan known as a regional center near the border with Tajikistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denau
Target entity description: Denau is a city in southern Uzbekistan known as a regional center near the border with Tajikistan.
  • A. Erkelenz
    Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural center.
  • B. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • C. Riez
    Riez is a historic village in southeastern France known for its Roman ruins and location amid the lavender fields of the Valensole Plateau.
  • D. Beaufays
    Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
  • E. Planegg
    Planegg is a municipality in the district of Munich in Bavaria, Germany, known for its scenic location along the Würm River and its proximity to the city of Munich.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402333dc8190bdffb1da68e2c76b completed April 20, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07578dc3c08190aeddf81b69afe055 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758751d0c8190a5e150d5a093f51a completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0758e997bc8190a32977d1810e4aeb completed May 15, 2026, 5:33 p.m.
Created at: April 10, 2026, 1:42 p.m.