Triple

T19512002
Position Surface form Disambiguated ID Type / Status
Subject Bakony Mountains E488178 entity
Predicate nearCity P350 FINISHED
Object Ajka 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: Ajka | Statement: [Bakony Mountains, nearCity, Ajka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajka
Context triple: [Bakony Mountains, nearCity, Ajka]
  • A. Ajka chosen
    Ajka is a town in western Hungary known for its industrial heritage, particularly in mining and alumina production.
  • B. Ajka District
    Ajka District is an administrative district in western Hungary centered around the town of Ajka, within Veszprém County.
  • C. Paju
    Paju is a city in South Korea near the Demilitarized Zone, known for its historical sites, cultural complexes, and role as a border hub with North Korea.
  • D. Kazanin
    Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
  • E. Kirovakan
    Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359908fc8190bd05f26d4271d268 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.