Triple

T4150214
Position Surface form Disambiguated ID Type / Status
Subject İsmet İnönü E89884 entity
Predicate familyName P18 FINISHED
Object İnönü
İnönü is a prominent Turkish surname most famously associated with İsmet İnönü, a key military leader in the Turkish War of Independence and the second President of Turkey.
 E417679 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: İnönü | Statement: [İsmet İnönü, familyName, İnönü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İnönü
Context triple: [İsmet İnönü, familyName, İnönü]
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • C. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • D. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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: İnönü
Triple: [İsmet İnönü, familyName, İnönü]
Generated description
İnönü is a prominent Turkish surname most famously associated with İsmet İnönü, a key military leader in the Turkish War of Independence and the second President of Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İnönü
Target entity description: İnönü is a prominent Turkish surname most famously associated with İsmet İnönü, a key military leader in the Turkish War of Independence and the second President of Turkey.
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • C. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • D. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • E. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57f9e42c88190b516bf8dca7b2efc completed March 14, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69b58028e7108190a6c92fc9ea300f9e completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:43 p.m.