Triple

T10940869
Position Surface form Disambiguated ID Type / Status
Subject Tunceli Province E258466 entity
Predicate hasDistrict P459 FINISHED
Object Mazgirt
Mazgirt is a town and district in eastern Turkey known for its mountainous terrain and location within Tunceli Province.
 E895340 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: Mazgirt | Statement: [Tunceli Province, hasDistrict, Mazgirt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mazgirt
Context triple: [Tunceli Province, hasDistrict, Mazgirt]
  • A. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • B. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • C. Hayrabolu
    Hayrabolu is a town and district in northwestern Turkey known for its agricultural economy and traditional Turkish desserts, particularly the syrup-soaked Hayrabolu tatlısı.
  • D. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • E. Gumrak
    Gumrak is a locality near Volgograd in Russia, historically known as the site of a World War II airfield used during the Battle of Stalingrad.
  • 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: Mazgirt
Triple: [Tunceli Province, hasDistrict, Mazgirt]
Generated description
Mazgirt is a town and district in eastern Turkey known for its mountainous terrain and location within Tunceli Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mazgirt
Target entity description: Mazgirt is a town and district in eastern Turkey known for its mountainous terrain and location within Tunceli Province.
  • A. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • B. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • C. Hayrabolu
    Hayrabolu is a town and district in northwestern Turkey known for its agricultural economy and traditional Turkish desserts, particularly the syrup-soaked Hayrabolu tatlısı.
  • D. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • E. Gumrak
    Gumrak is a locality near Volgograd in Russia, historically known as the site of a World War II airfield used during the Battle of Stalingrad.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c2821c8190a7b08276c4bfbf33 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.