Triple

T9815430
Position Surface form Disambiguated ID Type / Status
Subject Sakarya Province E238390 entity
Predicate hasCity P316 FINISHED
Object Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
 E825533 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: Kocaali | Statement: [Sakarya Province, hasCity, Kocaali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kocaali
Context triple: [Sakarya Province, hasCity, Kocaali]
  • A. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • B. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • C. Korkuteli
    Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya Province.
  • D. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • E. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • 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: Kocaali
Triple: [Sakarya Province, hasCity, Kocaali]
Generated description
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kocaali
Target entity description: Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • A. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • B. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • C. Korkuteli
    Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya Province.
  • D. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • E. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b599f88190a8f54771c4a75e58 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d988d8588190b5a8ae071b4fcd40 completed April 5, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69d1d9d98b5c8190825a06d57f59d1d3 completed April 5, 2026, 3:41 a.m.
Created at: March 30, 2026, 8:30 p.m.