Triple

T764439
Position Surface form Disambiguated ID Type / Status
Subject Hunter River catchment E16142 entity
Predicate includesTown P847 FINISHED
Object Scone E86021 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: Scone | Statement: [Hunter River catchment, includesTown, Scone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scone
Context triple: [Hunter River catchment, includesTown, Scone]
  • A. Scone chosen
    Scone is a rural town in New South Wales, Australia, known as the "Horse Capital of Australia" for its prominent thoroughbred breeding industry.
  • B. Scone
    Scone is a historic Scottish village best known as the traditional coronation site of Scottish kings and the location of the Stone of Scone.
  • C. Eccles cake
    Eccles cake is a traditional British pastry made of flaky, buttery pastry filled with spiced currants and often enjoyed as a sweet snack or dessert.
  • D. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • E. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a666760a4c8190afd00dbfc263be28 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.