Triple

T21456199
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Goygol
Goygol is a city in central Azerbaijan known for its proximity to the scenic Lake Goygol and its surrounding mountainous landscapes.
 E1485373 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: Goygol | Statement: [Central Azerbaijan, hasCity, Goygol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goygol
Context triple: [Central Azerbaijan, hasCity, Goygol]
  • A. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • B. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • C. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • D. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • E. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • 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: Goygol
Triple: [Central Azerbaijan, hasCity, Goygol]
Generated description
Goygol is a city in central Azerbaijan known for its proximity to the scenic Lake Goygol and its surrounding mountainous landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goygol
Target entity description: Goygol is a city in central Azerbaijan known for its proximity to the scenic Lake Goygol and its surrounding mountainous landscapes.
  • A. Gorgany
    Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
  • B. Goubuli
    Goubuli is a famous Chinese food brand best known for its traditional Tianjin-style stuffed buns (baozi) with a long history and strong cultural recognition.
  • C. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • D. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • E. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90ebd488190ab2ee8f8af98d1ae completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9a6b84881908f9193b89ded7361 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09caa391588190808eb3dcaff07803 completed May 17, 2026, 2:03 p.m.
Created at: April 16, 2026, 6:08 p.m.