Triple

T16820122
Position Surface form Disambiguated ID Type / Status
Subject Sait Faik Abasıyanık Museum E408863 entity
Predicate locatedOn P40 FINISHED
Object Burgazada E408862 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: Burgazada | Statement: [Sait Faik Abasıyanık Museum, locatedOn, Burgazada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgazada
Context triple: [Sait Faik Abasıyanık Museum, locatedOn, Burgazada]
  • A. Burgazada chosen
    Burgazada is one of Istanbul’s Princes’ Islands in the Sea of Marmara, known for its tranquil atmosphere, historic wooden houses, and association with writer Sait Faik Abasıyanık.
  • B. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • C. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • D. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • E. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e56b9c8190a35ad9c463954fbf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.