Triple

T17182693
Position Surface form Disambiguated ID Type / Status
Subject Jan Wagner E417020 entity
Predicate notableWork P4 FINISHED
Object Australien E876 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: Australien | Statement: [Jan Wagner, notableWork, Australien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Australien
Context triple: [Jan Wagner, notableWork, Australien]
  • A. Australia chosen
    Australia is a large island continent and sovereign country in the Southern Hemisphere, known for its unique wildlife, diverse landscapes, and major cities such as Sydney and Melbourne.
  • B. Burpengary
    Burpengary is a rapidly growing suburban town in Queensland, Australia, located north of Brisbane and known for its residential communities and local commercial centres.
  • C. Australes
    Australes is the French name for the Austral Islands, a remote archipelago in French Polynesia known for its small communities and traditional Polynesian culture.
  • D. New Zealand
    New Zealand is an island country in the southwestern Pacific Ocean known for its dramatic landscapes, indigenous Māori culture, and advanced, stable democracy.
  • E. AUS
    AUS is the three-letter IATA airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fca04cc8190a9df230078fbe268 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.