Triple

T19385864
Position Surface form Disambiguated ID Type / Status
Subject Carpathian cultural region E484931 entity
Predicate includesSubregion P285 FINISHED
Object Maramureș 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: Maramureș | Statement: [Carpathian cultural region, includesSubregion, Maramureș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maramureș
Context triple: [Carpathian cultural region, includesSubregion, Maramureș]
  • A. Maramureș region chosen
    The Maramureș region is a historic area in northern Romania renowned for its well-preserved rural traditions, wooden churches, and distinctive folk culture.
  • B. Satu Mare
    Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
  • C. Piatra-Olt
    Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
  • D. Bistrița-Năsăud
    Bistrița-Năsăud is a county in northern Romania, in the historical region of Transylvania, known for its mountainous landscapes, medieval heritage, and multicultural traditions.
  • E. Caransebeș
    Caransebeș is a historic town in western Romania, situated in the Banat region and known as an important local cultural and transportation hub.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:35 p.m.