Triple

T2260280
Position Surface form Disambiguated ID Type / Status
Subject Kaspi E50021 entity
Predicate partOf P40 FINISHED
Object Kaspi Municipality E41298 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: Kaspi Municipality | Statement: [Kaspi, partOf, Kaspi Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaspi Municipality
Context triple: [Kaspi, partOf, Kaspi Municipality]
  • A. Kaspi Municipality chosen
    Kaspi Municipality is an administrative district in central Georgia, located within the Shida Kartli region and centered around the town of Kaspi.
  • B. Yalta Municipality
    Yalta Municipality is an administrative district on the southern coast of the Crimean Peninsula that includes the resort city of Yalta and surrounding settlements.
  • C. Khashuri Municipality
    Khashuri Municipality is an administrative district in central Georgia, centered around the town of Khashuri within the Shida Kartli region.
  • D. Kuvshinovsky District
    Kuvshinovsky District is an administrative district in Tver Oblast, Russia, encompassing rural localities such as the village of Pryamukhino.
  • E. Vaninsky District
    Vaninsky District is an administrative district in Khabarovsk Krai, Russia, located on the Sea of Japan coast and known for its port settlement of Vanino.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15be1288190a55c12674f4a5e03 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.