Triple

T15954669
Position Surface form Disambiguated ID Type / Status
Subject Afyonkarahisar Province E386902 entity
Predicate hasCity P316 FINISHED
Object Başmakçı
Başmakçı is a small town and district in western Turkey known for its agricultural activities and rural character.
E1185842 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: Başmakçı | Statement: [Afyonkarahisar Province, hasCity, Başmakçı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Başmakçı
Context triple: [Afyonkarahisar Province, hasCity, Başmakçı]
  • A. Çakmak
    Çakmak is a Turkish surname most notably associated with Fevzi Çakmak, a prominent Turkish field marshal and statesman.
  • B. Doğramacı
    Doğramacı is a Turkish surname most prominently associated with İhsan Doğramacı, a leading pediatrician, educator, and founder of several major universities in Turkey.
  • C. Başgil
    Başgil is a Turkish surname most notably associated with Ali Fuat Başgil, a prominent jurist, academic, and politician in mid-20th-century Turkey.
  • D. Korkmaz
    Korkmaz is a Turkish surname most notably associated with former professional footballer and manager Bülent Korkmaz.
  • E. Kapaklı
    Kapaklı is a district-level city in northwestern Turkey, located within Tekirdağ Province in the Thrace 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: Başmakçı
Triple: [Afyonkarahisar Province, hasCity, Başmakçı]
Generated description
Başmakçı is a small town and district in western Turkey known for its agricultural activities and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Başmakçı
Target entity description: Başmakçı is a small town and district in western Turkey known for its agricultural activities and rural character.
  • A. Çakmak
    Çakmak is a Turkish surname most notably associated with Fevzi Çakmak, a prominent Turkish field marshal and statesman.
  • B. Doğramacı
    Doğramacı is a Turkish surname most prominently associated with İhsan Doğramacı, a leading pediatrician, educator, and founder of several major universities in Turkey.
  • C. Başgil
    Başgil is a Turkish surname most notably associated with Ali Fuat Başgil, a prominent jurist, academic, and politician in mid-20th-century Turkey.
  • D. Korkmaz
    Korkmaz is a Turkish surname most notably associated with former professional footballer and manager Bülent Korkmaz.
  • E. Kapaklı
    Kapaklı is a district-level city in northwestern Turkey, located within Tekirdağ Province in the Thrace 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.