Triple

T4405191
Position Surface form Disambiguated ID Type / Status
Subject Mačva region E93713 entity
Predicate partOf P40 FINISHED
Object Mačva District E93713 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: Mačva District | Statement: [Mačva region, partOf, Mačva District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mačva District
Context triple: [Mačva region, partOf, Mačva District]
  • A. Brčko District
    Brčko District is a self-governing, multi-ethnic administrative unit in northeastern Bosnia and Herzegovina that holds a strategically important position along the Sava River.
  • B. Mačva region chosen
    The Mačva region is a historical and geographical area in western Serbia, known for its fertile plains, agriculture, and cultural centers such as the city of Šabac.
  • C. Peć District
    Peć District is an administrative district in western Kosovo centered around the city of Peć and known for its historical and cultural significance.
  • D. Gusar District
    Gusar District is an administrative region in northeastern Azerbaijan known for its mountainous landscapes, including parts of the Greater Caucasus range and popular tourist areas near the Russian border.
  • E. Dudinka district
    Dudinka district is a remote administrative region in northern Krasnoyarsk Krai, Russia, located in the Arctic and known for its indigenous communities and harsh subarctic environment.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:28 p.m.