Triple

T17984974
Position Surface form Disambiguated ID Type / Status
Subject Marmaris E430206 entity
Predicate near P350 FINISHED
Object İçmeler
İçmeler is a popular seaside resort town on Turkey’s Turquoise Coast, known for its sandy beaches, clear waters, and relaxed holiday atmosphere.
 E1300073 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: İçmeler | Statement: [Marmaris, near, İçmeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İçmeler
Context triple: [Marmaris, near, İçmeler]
  • A. Ilisu
    Ilisu is a historic mountain village in northwestern Azerbaijan known for its scenic landscapes, traditional architecture, and cultural heritage.
  • B. Tarama
    Tarama is a small island municipality in Okinawa Prefecture, Japan, known for its subtropical climate, traditional Ryukyuan culture, and surrounding coral reefs.
  • C. İkindi Üstü
    İkindi Üstü is a prominent poetry collection by Turkish modernist poet Edip Cansever, noted for its introspective and innovative free-verse style.
  • D. İncesu
    İncesu is a town and district in central Turkey known for its historical caravanserai and location within Kayseri Province in Central Anatolia.
  • E. Karamürsel
    Karamürsel is a coastal town and district in northwestern Turkey, situated along the Sea of Marmara and known for its maritime heritage and scenic waterfront.
  • 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: İçmeler
Triple: [Marmaris, near, İçmeler]
Generated description
İçmeler is a popular seaside resort town on Turkey’s Turquoise Coast, known for its sandy beaches, clear waters, and relaxed holiday atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İçmeler
Target entity description: İçmeler is a popular seaside resort town on Turkey’s Turquoise Coast, known for its sandy beaches, clear waters, and relaxed holiday atmosphere.
  • A. Ilisu
    Ilisu is a historic mountain village in northwestern Azerbaijan known for its scenic landscapes, traditional architecture, and cultural heritage.
  • B. Tarama
    Tarama is a small island municipality in Okinawa Prefecture, Japan, known for its subtropical climate, traditional Ryukyuan culture, and surrounding coral reefs.
  • C. İkindi Üstü
    İkindi Üstü is a prominent poetry collection by Turkish modernist poet Edip Cansever, noted for its introspective and innovative free-verse style.
  • D. İncesu
    İncesu is a town and district in central Turkey known for its historical caravanserai and location within Kayseri Province in Central Anatolia.
  • E. Karamürsel
    Karamürsel is a coastal town and district in northwestern Turkey, situated along the Sea of Marmara and known for its maritime heritage and scenic waterfront.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29a27b081909a128a6b978eabf8 completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337a8f63c81908e927824962aaf25 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca5e4c08190b7de8ab2d4fb8e3b completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033daf5b948190926f2925b8e3cc84 completed May 12, 2026, 2:48 p.m.
Created at: April 10, 2026, 10:23 a.m.