Triple

T22094112
Position Surface form Disambiguated ID Type / Status
Subject ABBA: The Movie E545979 entity
Predicate featuresSong P2152 FINISHED
Object Waterloo
"Waterloo" is a 1974 hit pop song by Swedish group ABBA that won the Eurovision Song Contest and became one of their signature tracks.
E860027 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: [ABBA: The Movie, featuresSong, Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterloo
Context triple: [ABBA: The Movie, featuresSong, 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: [ABBA: The Movie, featuresSong, Waterloo]
Generated description
"Waterloo" is a 1974 hit pop song by Swedish group ABBA that won the Eurovision Song Contest and became one of their signature tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waterloo
Target entity description: "Waterloo" is a 1974 hit pop song by Swedish group ABBA that won the Eurovision Song Contest and became one of their signature tracks.
  • A. Waterloo chosen
    "Waterloo" is a 1974 pop song by Swedish group ABBA that won the Eurovision Song Contest and became one of their signature international hits.
  • B. Waterloo
    "Waterloo" is the 1974 pop song by Swedish group ABBA that launched their international fame after winning the Eurovision Song Contest.
  • C. Waterloo
    Waterloo is a 1974 hit single by Swedish pop group ABBA that won the Eurovision Song Contest and became one of their most iconic and internationally successful songs.
  • D. Waterloo
    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.
  • E. 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.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879f826881909cdad0edc6bde08d completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a884eb8248190b98b260d3d277d92 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8901941c8190945a96d7f5578362 completed May 18, 2026, 3:35 a.m.
Created at: April 16, 2026, 8:29 p.m.