Triple

T5175205
Position Surface form Disambiguated ID Type / Status
Subject Kharkiv Oblast E116779 entity
Predicate containsCity P294 FINISHED
Object Lozova E336826 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: Lozova | Statement: [Kharkiv Oblast, containsCity, Lozova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lozova
Context triple: [Kharkiv Oblast, containsCity, Lozova]
  • A. Lozova chosen
    Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
  • B. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • C. Ribčev Laz
    Ribčev Laz is a small Slovenian village in the Julian Alps, best known as the main tourist gateway to Lake Bohinj and the Triglav National Park.
  • D. Lechovo
    Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
  • E. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07a6620819089e2b3fcb322a47e completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:45 p.m.