Triple

T13327853
Position Surface form Disambiguated ID Type / Status
Subject Northern Cyprus Campus E317486 entity
Predicate locatedIn P40 FINISHED
Object Güzelyurt E680514 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: Güzelyurt | Statement: [Northern Cyprus Campus, locatedIn, Güzelyurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güzelyurt
Context triple: [Northern Cyprus Campus, locatedIn, Güzelyurt]
  • A. Güzelyurt chosen
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Güzelyurt
    Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
  • C. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • D. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • E. Gozleme
    Gozleme is a traditional Turkish flatbread dish made from thinly rolled dough filled with ingredients like cheese, spinach, potatoes, or minced meat, then folded and cooked on a griddle.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992d3b0881909732fbb8db98e44c completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 9:30 p.m.