Triple

T22777708
Position Surface form Disambiguated ID Type / Status
Subject Kazlıçeşme E563748 entity
Predicate nearbyLandmark P350 FINISHED
Object Yenikapı NE NERFINISHED

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: Yenikapı | Statement: [Kazlıçeşme, nearbyLandmark, Yenikapı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yenikapı
Context triple: [Kazlıçeşme, nearbyLandmark, Yenikapı]
  • A. Yenikapı chosen
    Yenikapı is a coastal neighborhood and major transportation hub in Istanbul, known for its ferry port, metro connections, and large public square used for rallies and events.
  • B. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • C. Çerkezköy
    Çerkezköy is an industrial and residential town in northwestern Turkey, located in Tekirdağ Province within the Thrace region.
  • D. Reyhanlı
    Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
  • E. Yenipazar
    Yenipazar is a small town and district in northwestern Turkey known for its rural character and traditional Anatolian lifestyle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b631c6881908a6687920923dcf4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.