Triple

T19657384
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian crown E471983 entity
Predicate legalTenderIn P188 FINISHED
Object Transleithania 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: Transleithania | Statement: [Austro-Hungarian crown, legalTenderIn, Transleithania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transleithania
Context triple: [Austro-Hungarian crown, legalTenderIn, Transleithania]
  • A. Transleithania chosen
    Transleithania was the unofficial name for the Hungarian-administered half of the Austro-Hungarian Empire, encompassing the Kingdom of Hungary and its associated territories from 1867 to 1918.
  • B. Westonia
    Westonia is a small rural town in Western Australia's Wheatbelt region, known for its grain farming and historic gold mining heritage.
  • C. Westlandia
    Westlandia is a Dutch sports club based in Naaldwijk, best known for its amateur football teams competing in regional and national leagues.
  • D. Ladania
    Ladania is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Olmayan Ülke
    Olmayan Ülke, written by Turkish author Ahmet Ümit, is a literary work that blends elements of mystery and social commentary within a contemporary Turkish setting.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641475f408190bd42ef3f8d590719 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.