Triple

T688230
Position Surface form Disambiguated ID Type / Status
Subject Bursa E13331 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: [Bursa, locatedIn, Marmara Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara Region
Context triple: [Bursa, 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. Ankara Province
    Ankara Province is a central Anatolian administrative region of Turkey that includes and is centered around the national capital city, Ankara.
  • C. Central Anatolia Region
    The Central Anatolia Region is a large inland plateau area in the heart of Turkey, known for its steppe landscapes, historical sites, and major cities including the capital, Ankara.
  • D. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • E. Yalova
    Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef349588190b2d4f6177a2f335e completed March 3, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:36 p.m.