Triple

T11736803
Position Surface form Disambiguated ID Type / Status
Subject Samsun Province E279047 entity
Predicate hasDistrict P459 FINISHED
Object İlkadım
İlkadım is a central urban district and municipality of the city of Samsun on Turkey’s Black Sea coast.
 E944350 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: İlkadım | Statement: [Samsun Province, hasDistrict, İlkadım]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İlkadım
Context triple: [Samsun Province, hasDistrict, İlkadım]
  • A. Hedaya
    Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
  • B. Sulh-i Kul
    Sulh-i Kul was a Mughal-era doctrine of universal peace and tolerance that promoted religious harmony and equal treatment of all faiths in the empire.
  • C. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • D. At-Tariq
    At-Tariq is the 86th chapter of the Qur’an, known for its vivid opening oath by the night-piercing star and its emphasis on God’s power over creation and resurrection.
  • E. Yiğitler
    Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
  • 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: İlkadım
Triple: [Samsun Province, hasDistrict, İlkadım]
Generated description
İlkadım is a central urban district and municipality of the city of Samsun on Turkey’s Black Sea coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İlkadım
Target entity description: İlkadım is a central urban district and municipality of the city of Samsun on Turkey’s Black Sea coast.
  • A. Hedaya
    Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
  • B. Sulh-i Kul
    Sulh-i Kul was a Mughal-era doctrine of universal peace and tolerance that promoted religious harmony and equal treatment of all faiths in the empire.
  • C. Fardis
    Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • D. At-Tariq
    At-Tariq is the 86th chapter of the Qur’an, known for its vivid opening oath by the night-piercing star and its emphasis on God’s power over creation and resurrection.
  • E. Yiğitler
    Yiğitler is a small coastal settlement on Avşa Island in Turkey, known for its tranquil beaches and local tourism.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019b318188190bfb7effcf42974d2 completed April 28, 2026, 2:21 a.m.
NEDg Description generation batch_69f0319271788190a105828ae7582668 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.