Triple

T2986617
Position Surface form Disambiguated ID Type / Status
Subject Ankara Province E80640 entity
Predicate contains P35 FINISHED
Object Çubuk
Çubuk is a district and town in central Turkey known for its proximity to Ankara and its agricultural and pickling traditions.
 E315506 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: Çubuk | Statement: [Ankara Province, contains, Çubuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Çubuk
Context triple: [Ankara Province, contains, Çubuk]
  • A. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • B. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • C. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • D. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • E. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • 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: Çubuk
Triple: [Ankara Province, contains, Çubuk]
Generated description
Çubuk is a district and town in central Turkey known for its proximity to Ankara and its agricultural and pickling traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Çubuk
Target entity description: Çubuk is a district and town in central Turkey known for its proximity to Ankara and its agricultural and pickling traditions.
  • A. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • B. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • C. Midžor
    Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
  • D. Peć
    Peć is a historic town in western Kosovo renowned as the medieval spiritual seat of the Serbian Orthodox Church, centered around the Patriarchate of Peć monastery complex.
  • E. Rakovica
    Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108fb46b08190bcbd00e69cf06047 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1098429f0819086767078b9687674 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b109ea926481909c85a9aa28027d41 completed March 11, 2026, 6:21 a.m.
Created at: March 8, 2026, 2:59 p.m.