Triple

T14094610
Position Surface form Disambiguated ID Type / Status
Subject Prinkipo E339220 entity
Predicate hasAlternativeName P39 FINISHED
Object Prinkipos
Prinkipos is the former name of Büyükada, the largest and most famous of Istanbul’s Princes’ Islands in the Sea of Marmara.
 E1079364 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: Prinkipos | Statement: [Prinkipo, hasAlternativeName, Prinkipos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prinkipos
Context triple: [Prinkipo, hasAlternativeName, Prinkipos]
  • A. Ivanoe
    Ivanoe is an Italian masculine given name most notably borne by the 20th-century politician Ivanoe Bonomi, who served as Prime Minister of Italy.
  • B. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • C. Prvić
    Prvić is a small Croatian island in the Adriatic Sea, known for its traditional stone villages, car-free environment, and tranquil coastal scenery.
  • D. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • E. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • 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: Prinkipos
Triple: [Prinkipo, hasAlternativeName, Prinkipos]
Generated description
Prinkipos is the former name of Büyükada, the largest and most famous of Istanbul’s Princes’ Islands in the Sea of Marmara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prinkipos
Target entity description: Prinkipos is the former name of Büyükada, the largest and most famous of Istanbul’s Princes’ Islands in the Sea of Marmara.
  • A. Ivanoe
    Ivanoe is an Italian masculine given name most notably borne by the 20th-century politician Ivanoe Bonomi, who served as Prime Minister of Italy.
  • B. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • C. Prvić
    Prvić is a small Croatian island in the Adriatic Sea, known for its traditional stone villages, car-free environment, and tranquil coastal scenery.
  • D. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • E. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.