Triple

T9815425
Position Surface form Disambiguated ID Type / Status
Subject Sakarya Province E238390 entity
Predicate hasCity P316 FINISHED
Object Akyazı
Akyazı is a town and district in northwestern Turkey known for its agricultural activities and proximity to natural attractions such as forests and thermal springs.
E823354 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: Akyazı | Statement: [Sakarya Province, hasCity, Akyazı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akyazı
Context triple: [Sakarya Province, hasCity, Akyazı]
  • A. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • B. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • C. Kayı
    Kayı is a prominent Oghuz Turkic tribe historically known as the ancestral lineage of Ertuğrul and the founders of the Ottoman Empire.
  • D. Ağca
    Ağca is the surname of Mehmet Ali Ağca, the Turkish gunman known for his 1981 assassination attempt on Pope John Paul II.
  • E. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara 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: Akyazı
Triple: [Sakarya Province, hasCity, Akyazı]
Generated description
Akyazı is a town and district in northwestern Turkey known for its agricultural activities and proximity to natural attractions such as forests and thermal springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akyazı
Target entity description: Akyazı is a town and district in northwestern Turkey known for its agricultural activities and proximity to natural attractions such as forests and thermal springs.
  • A. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • B. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • C. Kayı
    Kayı is a prominent Oghuz Turkic tribe historically known as the ancestral lineage of Ertuğrul and the founders of the Ottoman Empire.
  • D. Ağca
    Ağca is the surname of Mehmet Ali Ağca, the Turkish gunman known for his 1981 assassination attempt on Pope John Paul II.
  • E. Körfez
    Körfez is a coastal industrial city and district in Turkey’s Kocaeli Province, located along the Gulf of İzmit in the Marmara 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_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_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.