Triple

T2837469
Position Surface form Disambiguated ID Type / Status
Subject İZBAN E62384 entity
Predicate regionServed P82 FINISHED
Object Gaziemir E285088 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: Gaziemir | Statement: [İZBAN, regionServed, Gaziemir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaziemir
Context triple: [İZBAN, regionServed, Gaziemir]
  • A. Gaziemir chosen
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • B. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • C. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • D. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • E. İmroz
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeede0488190a9782f55b57559ee completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8cbaa4081909ff4e9fdf590e352 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.