Triple

T4255373
Position Surface form Disambiguated ID Type / Status
Subject Koza Han E95960 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: [Koza Han, locatedIn, Marmara Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara Region
Context triple: [Koza Han, 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67ba3fef08190a0f92460703b0a98 completed March 15, 2026, 9:28 a.m.
Created at: March 12, 2026, 11:06 p.m.