Triple

T14094606
Position Surface form Disambiguated ID Type / Status
Subject Prinkipo E339220 entity
Predicate hasAlternativeName P39 FINISHED
Object Büyükada Island E561985 NE FINISHED

How this triple was built (2 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: Büyükada Island | Statement: [Prinkipo, hasAlternativeName, Büyükada Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Büyükada Island
Context triple: [Prinkipo, hasAlternativeName, Büyükada Island]
  • A. Büyükada chosen
    Büyükada is the largest and most popular of Istanbul’s Princes' Islands, known for its historic wooden mansions, car-free streets, and seaside promenades.
  • B. Giresun Island
    Giresun Island is a small Black Sea island off the coast of Giresun, Turkey, known for its historical ruins, mythological associations, and natural beauty.
  • C. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • D. Bitlik Island
    Bitlik Island is a small island located within the Tanga Islands archipelago off the northeastern coast of Papua New Guinea.
  • E. Avşa Island
    Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69fd7a2fdd7c8190b2ebf5a18c8039f2 completed May 8, 2026, 5:52 a.m.
Created at: April 9, 2026, 10:22 p.m.