Triple

T1516985
Position Surface form Disambiguated ID Type / Status
Subject Dolmabahce Palace E32143 entity
Predicate hasPart P35 FINISHED
Object Selamlık
Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
 E205442 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: Selamlık | Statement: [Dolmabahce Palace, hasPart, Selamlık]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Selamlık
Context triple: [Dolmabahce Palace, hasPart, Selamlık]
  • A. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • B. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • C. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • D. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • E. Söğüt
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • 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: Selamlık
Triple: [Dolmabahce Palace, hasPart, Selamlık]
Generated description
Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Selamlık
Target entity description: Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
  • A. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • B. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • C. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • D. Çorlu
    Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
  • E. Söğüt
    Söğüt is a historic town in northwestern Turkey renowned as the early center of the Ottoman beylik and the birthplace of the Ottoman Empire.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eb7d108190bf26199744d510d7 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc98b2b0081909d10b22d59c5e653 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaed1f788190b14c3e2d2c3036d9 completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcbee97e88190adc1315c0a5013ab completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:26 p.m.