Triple

T9703558
Position Surface form Disambiguated ID Type / Status
Subject Somogy County E234838 entity
Predicate borders P224 FINISHED
Object Kapos River E365576 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: Kapos River | Statement: [Somogy County, borders, Kapos River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapos River
Context triple: [Somogy County, borders, Kapos River]
  • A. Kapos River chosen
    The Kapos River is a waterway in southwestern Hungary that flows through the city of Kaposvár before joining the Sió River.
  • B. Diep River
    Diep River is a river in the Western Cape of South Africa that flows through the Cape Town area, including the suburb of Milnerton, before reaching the Atlantic Ocean.
  • C. Ganja River
    The Ganja River is a waterway in western Azerbaijan that flows through the city of Ganja (historically Elisavetpol), contributing to the region’s geography and settlement.
  • D. Black River
    Black River is a coastal town in Cornwall County, Jamaica, historically known as one of the island’s oldest ports and an early adopter of electricity.
  • E. Black River
    Black River is a common river name used in various regions worldwide, typically referring to waterways characterized by dark-colored water due to organic matter or sediment.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19132687c8190baf3a60af1b789a8 completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.