Triple

T10321762
Position Surface form Disambiguated ID Type / Status
Subject Van Vilayet E242152 entity
Predicate contains P35 FINISHED
Object Hoşap
Hoşap is a historic settlement in eastern Turkey, best known for its medieval Hoşap Castle overlooking the Hoşap River.
E855276 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: Hoşap | Statement: [Van Vilayet, contains, Hoşap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoşap
Context triple: [Van Vilayet, contains, Hoşap]
  • A. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • B. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • C. Hovet
    Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
  • D. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • E. Habay
    Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • 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: Hoşap
Triple: [Van Vilayet, contains, Hoşap]
Generated description
Hoşap is a historic settlement in eastern Turkey, best known for its medieval Hoşap Castle overlooking the Hoşap River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoşap
Target entity description: Hoşap is a historic settlement in eastern Turkey, best known for its medieval Hoşap Castle overlooking the Hoşap River.
  • A. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • B. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • C. Hovet
    Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
  • D. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • E. Habay
    Habay is a municipality in the Walloon region of southern Belgium, known for its rural landscapes and location within Luxembourg Province.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d731887d2081908e6b4e33d400582f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329189708190bbd21bd40ec029b0 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:50 a.m.