Triple

T17089759
Position Surface form Disambiguated ID Type / Status
Subject Turkish high-speed rail network E414692 entity
Predicate connectsCity P4245 FINISHED
Object Karaman 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: Karaman | Statement: [Turkish high-speed rail network, connectsCity, Karaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaman
Context triple: [Turkish high-speed rail network, connectsCity, Karaman]
  • A. Karaman chosen
    Karaman is a historic city in south-central Turkey known for its role in the Karamanid beylik and its rich Seljuk and Ottoman architectural heritage.
  • B. Kajmakčalan
    Kajmakčalan is a prominent peak on the Greece–North Macedonia border, historically known as a major World War I battlefield and part of the Mount Voras range.
  • C. Mardin
    Mardin is a historic city in southeastern Turkey known for its terraced stone architecture, diverse ethnic and religious heritage, and commanding views over the Mesopotamian plains.
  • D. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • E. Seydikemer
    Seydikemer is a rural district and town in southwestern Turkey known for its agricultural landscape and proximity to popular coastal and historical sites in Muğla Province.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.