Triple

T5955669
Position Surface form Disambiguated ID Type / Status
Subject Marmara Island E132506 entity
Predicate hasSettlement P1068 FINISHED
Object Çınarlı
Çınarlı is a small settlement located on Marmara Island in the Sea of Marmara, Turkey.
E561986 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: Çınarlı | Statement: [Marmara Island, hasSettlement, Çınarlı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çınarlı
Context triple: [Marmara Island, hasSettlement, Çınarlı]
  • A. Cihanbeyli
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • B. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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: Çınarlı
Triple: [Marmara Island, hasSettlement, Çınarlı]
Generated description
Çınarlı is a small settlement located on Marmara Island in the Sea of Marmara, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Çınarlı
Target entity description: Çınarlı is a small settlement located on Marmara Island in the Sea of Marmara, Turkey.
  • A. Cihanbeyli
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • B. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • C. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • D. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • E. Doğanhisar
    Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1082d00308190a8e92bb633e7f292 completed March 23, 2026, 9:30 a.m.
NEDg Description generation batch_69c10a15b9e08190be8b559e467d1d8c completed March 23, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69c10aaf299481909d0e824a126381e3 completed March 23, 2026, 9:41 a.m.
Created at: March 22, 2026, 4:02 p.m.