Triple

T16644078
Position Surface form Disambiguated ID Type / Status
Subject Papelotte E404418 entity
Predicate heritageStatus P923 FINISHED
Object Waterloo battlefield site E701944 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: Waterloo battlefield site | Statement: [Papelotte, heritageStatus, Waterloo battlefield site]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo battlefield site
Context triple: [Papelotte, heritageStatus, Waterloo battlefield site]
  • 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 was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • D. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • E. Waterloo
    Waterloo is a suburban area within the Poole–Bournemouth urban region on the south coast of England.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad3b12c8190a32e33d9ecff9dae completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2ce64c8190970c86b729a6ff83 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.