Triple

T2646079
Position Surface form Disambiguated ID Type / Status
Subject Adnan Menderes Airport E62986 entity
Predicate locatedNear P294 FINISHED
Object Menderes
Menderes is a district of İzmir Province in western Turkey, known for its proximity to İzmir Adnan Menderes Airport and its coastal and agricultural areas.
 E285092 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: Menderes | Statement: [Adnan Menderes Airport, locatedNear, Menderes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Menderes
Context triple: [Adnan Menderes Airport, locatedNear, Menderes]
  • A. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
  • C. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • D. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • 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: Menderes
Triple: [Adnan Menderes Airport, locatedNear, Menderes]
Generated description
Menderes is a district of İzmir Province in western Turkey, known for its proximity to İzmir Adnan Menderes Airport and its coastal and agricultural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Menderes
Target entity description: Menderes is a district of İzmir Province in western Turkey, known for its proximity to İzmir Adnan Menderes Airport and its coastal and agricultural areas.
  • A. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Tarsus River
    The Tarsus River is a waterway in southern Turkey that flows through the historic city of Tarsus before reaching the Mediterranean Sea.
  • C. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • D. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c721b08190b380d3625126cb55 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af996e93f08190ac4b8faa64fb0550 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99d58744819098633b2b51f7943e completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.