Triple

T13606359
Position Surface form Disambiguated ID Type / Status
Subject Amaseia E325073 entity
Predicate locatedIn P40 FINISHED
Object Amasya Province 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: Amasya Province | Statement: [Amaseia, locatedIn, Amasya Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amasya Province
Context triple: [Amaseia, locatedIn, Amasya Province]
  • A. Amasya Province chosen
    Amasya Province is a region in northern Turkey known for its rich history, Ottoman-era architecture, and scenic location along the Yeşilırmak River.
  • B. Elazığ Province
    Elazığ Province is an eastern Turkish province known for its significant Zaza-speaking population, rich Anatolian history, and mountainous landscapes.
  • C. Aksaray Province
    Aksaray Province is a central Anatolian province of Turkey known for its historical sites, steppe landscapes, and proximity to the Cappadocia region.
  • D. Sivas Province
    Sivas Province is a large, historically significant region in central Turkey known for its diverse ethnic makeup, including Zazaki-speaking communities, and its role as a cultural and transportation crossroads in Anatolia.
  • E. Tunceli Province
    Tunceli Province is a mountainous and sparsely populated region in eastern Turkey known for its significant Alevi and Zaza Kurdish population and its rugged natural landscapes.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:50 p.m.