Triple

T4526897
Position Surface form Disambiguated ID Type / Status
Subject Konya Province E106200 entity
Predicate hasDistrict P459 FINISHED
Object Ahırlı
Ahırlı is a small rural district and town located within Konya Province in central Turkey.
E449764 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: Ahırlı | Statement: [Konya Province, hasDistrict, Ahırlı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahırlı
Context triple: [Konya Province, hasDistrict, Ahırlı]
  • A. Halkapınar
    Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
  • B. Çalıkuşu
    Çalıkuşu is a classic early 20th-century Turkish novel that follows the life and struggles of an idealistic young female teacher, and is widely regarded as one of the foundational works of modern Turkish literature.
  • C. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • D. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • E. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • 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: Ahırlı
Triple: [Konya Province, hasDistrict, Ahırlı]
Generated description
Ahırlı is a small rural district and town located within Konya Province in central Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ahırlı
Target entity description: Ahırlı is a small rural district and town located within Konya Province in central Turkey.
  • A. Halkapınar
    Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
  • B. Çalıkuşu
    Çalıkuşu is a classic early 20th-century Turkish novel that follows the life and struggles of an idealistic young female teacher, and is widely regarded as one of the foundational works of modern Turkish literature.
  • C. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • D. Havaş
    Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • E. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4577d0c8190a88cdf4523446329 completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda8367b988190bd6859581ba9a38e completed March 20, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69bda8b4d064819083de58ee18458fa8 completed March 20, 2026, 8:06 p.m.
Created at: March 20, 2026, 1:03 p.m.