Triple

T2784542
Position Surface form Disambiguated ID Type / Status
Subject Nutuk E61778 entity
Predicate alsoKnownAs P39 FINISHED
Object Söylev
Söylev is the Turkish title of Mustafa Kemal Atatürk’s monumental speech Nutuk, in which he recounts and interprets the Turkish War of Independence and the early years of the Republic.
 E297535 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: Söylev | Statement: [Nutuk, alsoKnownAs, Söylev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Söylev
Context triple: [Nutuk, alsoKnownAs, Söylev]
  • A. 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.
  • B. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • C. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • D. Selamlık
    Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
  • E. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • 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: Söylev
Triple: [Nutuk, alsoKnownAs, Söylev]
Generated description
Söylev is the Turkish title of Mustafa Kemal Atatürk’s monumental speech Nutuk, in which he recounts and interprets the Turkish War of Independence and the early years of the Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Söylev
Target entity description: Söylev is the Turkish title of Mustafa Kemal Atatürk’s monumental speech Nutuk, in which he recounts and interprets the Turkish War of Independence and the early years of the Republic.
  • A. 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.
  • B. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • C. Özdamar
    Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
  • D. Selamlık
    Selamlık is the section of an Ottoman palace traditionally reserved for men, official ceremonies, and state affairs.
  • E. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd9e11e48190af48f605062ea387 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0629e8c81909b55d9838e681ba2 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.