Triple

T6574713
Position Surface form Disambiguated ID Type / Status
Subject Amasya E155529 entity
Predicate governedBy P46 FINISHED
Object Amasya Municipality E155529 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: Amasya Municipality | Statement: [Amasya, governedBy, Amasya Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amasya Municipality
Context triple: [Amasya, governedBy, Amasya Municipality]
  • A. Amasya chosen
    Amasya is a historic city in northern Turkey, renowned for its Ottoman-era architecture, rock tombs of Pontic kings, and scenic setting along the Yeşilırmak River.
  • B. Cayma District
    Cayma District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano and forming part of the greater Arequipa metropolitan area.
  • C. Söğüt District
    Söğüt District is an administrative district in Bilecik Province, Turkey, known historically as the region where the Ottoman Empire was founded.
  • D. Akşehir
    Akşehir is a town in central Turkey historically notable as a key strategic hub during the Turkish War of Independence.
  • E. Murat district
    Murat district is the central historic and commercial heart of Bari, Italy, known for its 19th-century grid layout, elegant boulevards, and major shopping streets.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7134708190a0355519d117ab9c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.