Triple

T9475125
Position Surface form Disambiguated ID Type / Status
Subject Numan Kurtulmuş E228495 entity
Predicate representedInParliament P6494 FINISHED
Object Ordu E778530 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: Ordu | Statement: [Numan Kurtulmuş, representedInParliament, Ordu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ordu
Context triple: [Numan Kurtulmuş, representedInParliament, Ordu]
  • A. Ordu
    Ordu is a coastal city on the Black Sea in northern Turkey, known for its hazelnut production and scenic seaside setting.
  • B. Ordu Province chosen
    Ordu Province is a coastal region in northern Turkey along the Black Sea, known for its hazelnut production and mountainous landscapes.
  • C. Menemen
    Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
  • D. Bilecik
    Bilecik is a small city in northwestern Turkey known as the capital of Bilecik Province and for its proximity to the historic town of Söğüt, birthplace of the Ottoman Empire.
  • E. Karabük
    Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ff39f48819087e696c2c1ffe638 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ceb52088190a03963a762c7d30d completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.