Triple

T14169674
Position Surface form Disambiguated ID Type / Status
Subject Aksaray E351172 entity
Predicate notableNearbySite P19575 FINISHED
Object Güzelyurt E1040052 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: [Aksaray, notableNearbySite, Güzelyurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güzelyurt
Context triple: [Aksaray, notableNearbySite, Güzelyurt]
  • A. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • B. Güzelyurt chosen
    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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce36ce08190930e791e2837d1a5 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 1:01 a.m.