Triple

T39765
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth II E786 entity
Predicate monarchOf P765 FINISHED
Object New Zealand E1850 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: New Zealand | Statement: [Elizabeth II, monarchOf, New Zealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Zealand
Context triple: [Elizabeth II, monarchOf, New Zealand]
  • A. New Zealand chosen
    New Zealand is an island country in the southwestern Pacific Ocean known for its dramatic landscapes, indigenous Māori culture, and advanced, stable democracy.
  • B. Australia
    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.
  • C. Fiji
    Fiji is a South Pacific island nation known for its tropical climate, coral reefs, and popular beach and dive tourism.
  • D. Tasmania
    Tasmania is an island state of Australia known for its rugged wilderness, unique wildlife, and relatively cool maritime climate.
  • E. South Island
    South Island is the larger of New Zealand’s two main islands, renowned for its dramatic mountains, fjords, and sparsely populated natural landscapes.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24adf3640819095576e072fb5d9a8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3232a3f8c81909aaf3479415828f4 completed Feb. 28, 2026, 5:17 p.m.
Created at: Feb. 28, 2026, 1:46 a.m.