Triple

T10689385
Position Surface form Disambiguated ID Type / Status
Subject Ardabil Province E251967 entity
Predicate hasCity P316 FINISHED
Object Sareyn
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
E879219 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: Sareyn | Statement: [Ardabil Province, hasCity, Sareyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sareyn
Context triple: [Ardabil Province, hasCity, Sareyn]
  • A. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • B. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • C. Vel Sartha
    Vel Sartha is a rebel operative and key member of the nascent Rebellion in the Star Wars series "Andor," known for leading a pivotal mission against the Empire.
  • D. Senaya
    Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • E. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • 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: Sareyn
Triple: [Ardabil Province, hasCity, Sareyn]
Generated description
Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sareyn
Target entity description: Sareyn is a small Iranian town renowned for its natural hot springs and status as a popular health and tourism destination.
  • A. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • B. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • C. Vel Sartha
    Vel Sartha is a rebel operative and key member of the nascent Rebellion in the Star Wars series "Andor," known for leading a pivotal mission against the Empire.
  • D. Senaya
    Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • E. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1aef888190ba92474af3a49e36 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.