Triple

T5491969
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Düzce
Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
 E598623 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: Düzce | Statement: [Asian Turkey, containsCity, Düzce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Düzce
Context triple: [Asian Turkey, containsCity, Düzce]
  • A. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • B. Bilecik
    Bilecik is a small city in northwestern Turkey known as the capital of Bilecik Province and for its proximity to the historic town of Söğüt, birthplace of the Ottoman Empire.
  • C. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • D. Gümüşhane
    Gümüşhane is a small city in northeastern Turkey known for its mountainous landscape, mining history, and traditional stone architecture.
  • 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: Düzce
Triple: [Asian Turkey, containsCity, Düzce]
Generated description
Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Düzce
Target entity description: Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
  • A. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • B. Bilecik
    Bilecik is a small city in northwestern Turkey known as the capital of Bilecik Province and for its proximity to the historic town of Söğüt, birthplace of the Ottoman Empire.
  • C. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • D. Gümüşhane
    Gümüşhane is a small city in northeastern Turkey known for its mountainous landscape, mining history, and traditional stone architecture.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c2b4f188190a78b591674040060 completed March 27, 2026, 12:46 p.m.
NEDg Description generation batch_69c67da1278c8190b75f7adc5f52795a completed March 27, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69c67dfc51048190adeccd569c85da85 completed March 27, 2026, 12:54 p.m.
Created at: March 20, 2026, 2:10 p.m.