Triple

T2942043
Position Surface form Disambiguated ID Type / Status
Subject Dečani Monastery E79408 entity
Predicate locatedIn P40 FINISHED
Object Deçan
Deçan is a town in western Kosovo known for its historic Serbian Orthodox Dečani Monastery, a UNESCO World Heritage Site.
E311398 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: Deçan | Statement: [Dečani Monastery, locatedIn, Deçan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deçan
Context triple: [Dečani Monastery, locatedIn, Deçan]
  • A. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • B. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • C. 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.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Chepelare
    Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
  • 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: Deçan
Triple: [Dečani Monastery, locatedIn, Deçan]
Generated description
Deçan is a town in western Kosovo known for its historic Serbian Orthodox Dečani Monastery, a UNESCO World Heritage Site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deçan
Target entity description: Deçan is a town in western Kosovo known for its historic Serbian Orthodox Dečani Monastery, a UNESCO World Heritage Site.
  • A. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • B. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • C. 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.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Chepelare
    Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08689ec3481909d9f039069ff19c7 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d241c7088190b440a47f4af54fbb completed March 11, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69b0d6466e848190bea4215cc9d358c7 completed March 11, 2026, 2:41 a.m.
Created at: March 8, 2026, 2:56 p.m.