Triple

T12410925
Position Surface form Disambiguated ID Type / Status
Subject Rose Valley E296510 entity
Predicate near P350 FINISHED
Object Çavuşin
Çavuşin is a historic village in Turkey’s Cappadocia region, known for its rock-cut dwellings, ancient churches, and proximity to popular hiking and hot-air balloon routes.
 E982594 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: Çavuşin | Statement: [Rose Valley, near, Çavuşin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Çavuşin
Context triple: [Rose Valley, near, Çavuşin]
  • A. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • B. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • C. Kumluova
    Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
  • D. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • E. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa 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: Çavuşin
Triple: [Rose Valley, near, Çavuşin]
Generated description
Çavuşin is a historic village in Turkey’s Cappadocia region, known for its rock-cut dwellings, ancient churches, and proximity to popular hiking and hot-air balloon routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Çavuşin
Target entity description: Çavuşin is a historic village in Turkey’s Cappadocia region, known for its rock-cut dwellings, ancient churches, and proximity to popular hiking and hot-air balloon routes.
  • A. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • B. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • C. Kumluova
    Kumluova is a modern settlement in southwestern Turkey located close to the ancient Lycian sanctuary of Letoon.
  • D. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • E. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348af5a8819083a075d145b15fd4 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:55 p.m.