Triple

T11736816
Position Surface form Disambiguated ID Type / Status
Subject Samsun Province E279047 entity
Predicate hasDistrict P459 FINISHED
Object Kavak
Kavak is a district and town in Turkey’s Black Sea region, located within Samsun Province.
 E944360 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: Kavak | Statement: [Samsun Province, hasDistrict, Kavak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kavak
Context triple: [Samsun Province, hasDistrict, Kavak]
  • A. Salaparuta
    Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
  • B. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • C. Guaiúba
    Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
  • D. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • E. Yakoma
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • 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: Kavak
Triple: [Samsun Province, hasDistrict, Kavak]
Generated description
Kavak is a district and town in Turkey’s Black Sea region, located within Samsun Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kavak
Target entity description: Kavak is a district and town in Turkey’s Black Sea region, located within Samsun Province.
  • A. Salaparuta
    Salaparuta is a small Sicilian town in western Italy, known for its wine production and its post-earthquake reconstruction after the 1968 Belice earthquake.
  • B. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • C. Guaiúba
    Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
  • D. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • E. Yakoma
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • 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.