Triple

T11618834
Position Surface form Disambiguated ID Type / Status
Subject Adana E275579 entity
Predicate hasDistrictStatus P2250 FINISHED
Object Seyhan
Seyhan is a central district and urban area of the city of Adana in southern Turkey.
E941420 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: Seyhan | Statement: [Adana, hasDistrictStatus, Seyhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seyhan
Context triple: [Adana, hasDistrictStatus, Seyhan]
  • A. Seyhan River
    The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
  • B. Göksu River
    The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
  • C. Ceyhan River
    The Ceyhan River is a major river in southern Turkey that flows through the Mediterranean region and supports agriculture and settlements, including the city of Adana.
  • D. Tunca River
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • E. Dicle
    Dicle is the Turkish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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: Seyhan
Triple: [Adana, hasDistrictStatus, Seyhan]
Generated description
Seyhan is a central district and urban area of the city of Adana in southern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seyhan
Target entity description: Seyhan is a central district and urban area of the city of Adana in southern Turkey.
  • A. Seyhan River
    The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
  • B. Göksu River
    The Göksu River is a significant waterway in southern Turkey that flows from the Taurus Mountains to the Mediterranean Sea, known for its rich biodiversity and fertile surrounding plains.
  • C. Ceyhan River
    The Ceyhan River is a major river in southern Turkey that flows through the Mediterranean region and supports agriculture and settlements, including the city of Adana.
  • D. Tunca River
    The Tunca River is a tributary of the Maritsa (Meriç) River in the Balkans, flowing through Bulgaria and Turkey and passing by the historic city of Edirne.
  • E. Dicle
    Dicle is the Turkish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8287f2dc819089b14707e035f7a1 completed April 27, 2026, 3:36 p.m.
NEDg Description generation batch_69ef96ab29d48190b225504856007384 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efd64bfa7081909715aa64d80fadf3 completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:38 p.m.