Triple

T2472500
Position Surface form Disambiguated ID Type / Status
Subject Kadıköy E55009 entity
Predicate locatedIn P40 FINISHED
Object Marmara Region E31349 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: Marmara Region | Statement: [Kadıköy, locatedIn, Marmara Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara Region
Context triple: [Kadıköy, locatedIn, Marmara Region]
  • A. Marmara Region chosen
    The Marmara Region is a northwestern area of Turkey that includes Istanbul and serves as a major economic, industrial, and transportation hub connecting Europe and Asia.
  • B. Istanbul Province
    Istanbul Province is a populous administrative region in northwestern Turkey that encompasses the historic city of Istanbul, spanning both Europe and Asia.
  • C. Bursa Province
    Bursa Province is a region in northwestern Turkey known for its historical significance as an early Ottoman capital, its industrial city of Bursa, and its proximity to Uludağ Mountain.
  • D. Ankara Province
    Ankara Province is a central Anatolian administrative region of Turkey that includes and is centered around the national capital city, Ankara.
  • E. Trabzon Province
    Trabzon Province is a coastal region in northeastern Turkey along the Black Sea, known for its mountainous landscapes, rich history, and the city of Trabzon as its capital.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd138872481908184e06d3584718e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66a2c588190874782f4565c0b60 completed March 10, 2026, 6:12 a.m.
Created at: March 6, 2026, 9:45 p.m.