Triple

T7841636
Position Surface form Disambiguated ID Type / Status
Subject Walloon Brabant E181816 entity
Predicate contains P35 FINISHED
Object Waterloo battlefield
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.
 E701944 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 battlefield | Statement: [Walloon Brabant, contains, Waterloo battlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waterloo battlefield
Context triple: [Walloon Brabant, contains, Waterloo battlefield]
  • 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 a mid-sized Canadian city in southwestern Ontario known for its universities, tech industry, and role within the Kitchener–Waterloo metropolitan area.
  • 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 battlefield
Triple: [Walloon Brabant, contains, Waterloo battlefield]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waterloo battlefield
Target entity description: 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.
  • A. Waterloo
    Waterloo was the original name of the settlement that later became the city of Austin, the capital of Texas.
  • B. Waterloo
    Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
  • C. Waterloo
    Waterloo is a small village in eastern Nebraska, United States, located along the Elkhorn River just west of Omaha.
  • D. 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.
  • E. Waterloo
    Waterloo is a mid-sized Canadian city in southwestern Ontario known for its universities, tech industry, and role within the Kitchener–Waterloo metropolitan area.
  • F. None of above. chosen

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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c6cbe48190b73df491de1004c3 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf0dee3881908f817427143cf774 completed March 31, 2026, 2:49 p.m.
NEDg Description generation batch_69cbe436e20481908b297cd94eafbeec completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0c32aac081909cdd0d69cacdd27f completed March 31, 2026, 6:02 p.m.
Created at: March 30, 2026, 4:47 p.m.