Triple

T23114517
Position Surface form Disambiguated ID Type / Status
Subject Sonian Forest E576412 entity
Predicate locatedNear P294 FINISHED
Object Waterloo Battlefield 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: Waterloo Battlefield | Statement: [Sonian Forest, locatedNear, Waterloo Battlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo Battlefield
Context triple: [Sonian Forest, locatedNear, Waterloo Battlefield]
  • A. Waterloo battlefield chosen
    Waterloo battlefield is the historic site in present-day Belgium where Napoleon Bonaparte was decisively defeated in 1815, ending his rule and reshaping European politics.
  • B. Waterloo
    Waterloo is an inner-city suburb of Sydney, Australia, known for its mix of public housing, industrial heritage, and rapid urban redevelopment.
  • C. Waterloo
    Waterloo is a major district in central London known for its busy railway station, cultural venues like the Southbank Centre, and proximity to landmarks such as the London Eye and the River Thames.
  • D. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • E. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e11e9dc819093c569f388ffd46b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:59 p.m.