Triple

T16621472
Position Surface form Disambiguated ID Type / Status
Subject Lasne valley E403840 entity
Predicate locatedNear P294 FINISHED
Object Waterloo
Waterloo is a historic town in central Belgium best known as the site of Napoleon Bonaparte’s decisive defeat in 1815.
E93431 NE FINISHED

How this triple was built (4 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 | Statement: [Lasne valley, locatedNear, Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo
Context triple: [Lasne valley, locatedNear, Waterloo]
  • A. 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.
  • B. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • C. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • D. Waterloo
    Waterloo is a small village in eastern Nebraska, United States, located along the Elkhorn River just west of Omaha.
  • E. Waterloo
    Waterloo is an inner-city suburb of Sydney, Australia, known for its mix of public housing, industrial heritage, and rapid urban redevelopment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waterloo
Triple: [Lasne valley, locatedNear, Waterloo]
Generated description
Waterloo is a historic town in central Belgium best known as the site of Napoleon Bonaparte’s decisive defeat in 1815.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waterloo
Target entity description: Waterloo is a historic town in central Belgium best known as the site of Napoleon Bonaparte’s decisive defeat in 1815.
  • A. Waterloo chosen
    Waterloo is a town in present-day Belgium best known as the site of Napoleon Bonaparte’s decisive defeat in 1815, which ended the Napoleonic Wars and reshaped European politics.
  • B. Waterloo
    Waterloo is a coastal town in the Metropolitan Borough of Sefton, Merseyside, England, known for its stretch of beach and proximity to Liverpool.
  • C. Waterloo
    Waterloo is a 1970 epic war film depicting Napoleon Bonaparte’s final defeat, noted for its large-scale battle scenes and Rod Steiger’s portrayal of Napoleon.
  • 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.

Provenance (5 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007eaca31081909cc81e73af61f2f0 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007fde282c81909c9e7b210dd6e715 completed May 10, 2026, 12:53 p.m.
Created at: April 10, 2026, 5:17 a.m.