Triple

T11736806
Position Surface form Disambiguated ID Type / Status
Subject Samsun Province E279047 entity
Predicate hasDistrict P459 FINISHED
Object Tekkeköy
Tekkeköy is a district and municipality in northern Turkey known for its location near the Black Sea city of Samsun and its mix of industrial facilities and archaeological heritage sites.
 E944353 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: Tekkeköy | Statement: [Samsun Province, hasDistrict, Tekkeköy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tekkeköy
Context triple: [Samsun Province, hasDistrict, Tekkeköy]
  • A. Tepeköy
    Tepeköy is a village on the island of İmroz (Gökçeada) in Turkey, known for its traditional Greek heritage and rural Aegean character.
  • B. Kaleköy
    Kaleköy is a small coastal village on the island of Gökçeada in Turkey, known for its historic stone houses, scenic harbor, and traditional Aegean atmosphere.
  • C. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • D. Şirinköy
    Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
  • E. Çengelköy
    Çengelköy is a historic neighborhood on Istanbul’s Asian shore of the Bosphorus, known for its waterfront cafes, traditional wooden houses, and scenic views.
  • 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: Tekkeköy
Triple: [Samsun Province, hasDistrict, Tekkeköy]
Generated description
Tekkeköy is a district and municipality in northern Turkey known for its location near the Black Sea city of Samsun and its mix of industrial facilities and archaeological heritage sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tekkeköy
Target entity description: Tekkeköy is a district and municipality in northern Turkey known for its location near the Black Sea city of Samsun and its mix of industrial facilities and archaeological heritage sites.
  • A. Tepeköy
    Tepeköy is a village on the island of İmroz (Gökçeada) in Turkey, known for its traditional Greek heritage and rural Aegean character.
  • B. Kaleköy
    Kaleköy is a small coastal village on the island of Gökçeada in Turkey, known for its historic stone houses, scenic harbor, and traditional Aegean atmosphere.
  • C. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • D. Şirinköy
    Şirinköy is a village located on Gökçeada, Turkey’s largest Aegean island in the Çanakkale Province.
  • E. Çengelköy
    Çengelköy is a historic neighborhood on Istanbul’s Asian shore of the Bosphorus, known for its waterfront cafes, traditional wooden houses, and scenic views.
  • 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.