Triple

T2845125
Position Surface form Disambiguated ID Type / Status
Subject Reichsgau Wartheland E62564 entity
Predicate containsCity P294 FINISHED
Object Konin E176381 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: Konin | Statement: [Reichsgau Wartheland, containsCity, Konin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konin
Context triple: [Reichsgau Wartheland, containsCity, Konin]
  • A. Konin chosen
    Konin is an industrial city in central Poland known for its power plants and location along the Warta River.
  • B. Koningslo
    Koningslo is a residential neighborhood of the city of Vilvoorde in Flemish Brabant, Belgium.
  • C. Koreiz
    Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.