Triple

T19106780
Position Surface form Disambiguated ID Type / Status
Subject Byzantine frontier in northwestern Anatolia E467676 entity
Predicate near P350 FINISHED
Object Yenişehir 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: Yenişehir | Statement: [Byzantine frontier in northwestern Anatolia, near, Yenişehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yenişehir
Context triple: [Byzantine frontier in northwestern Anatolia, near, Yenişehir]
  • A. Yenişehir
    Yenişehir is an urban district and municipality within Turkey’s Mediterranean coastal city of Mersin, known for its residential areas, commercial centers, and cultural facilities.
  • B. Yenişehir chosen
    Yenişehir is a district and town in Bursa Province in northwestern Turkey, known for its agricultural production and regional airport serving the Bursa area.
  • C. Çerkezköy
    Çerkezköy is an industrial and residential town in northwestern Turkey, located in Tekirdağ Province within the Thrace region.
  • D. Alaşehir
    Alaşehir is a town and district in Manisa Province in western Turkey, known for its agricultural production and historical roots dating back to ancient times.
  • E. Büyükerşen
    Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e391245c8190b1393577b61c4f76 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.