Triple
T8098545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Nivelles |
E189046
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Waterloo
Waterloo is a historic municipality in Walloon Brabant, Belgium, best known as the site of Napoleon Bonaparte’s decisive defeat in the Battle of Waterloo 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: [Arrondissement of Nivelles, containsMunicipality, Waterloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterloo Context triple: [Arrondissement of Nivelles, containsMunicipality, 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 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 Triple: [Arrondissement of Nivelles, containsMunicipality, Waterloo]
Generated description
Waterloo is a historic municipality in Walloon Brabant, Belgium, best known as the site of Napoleon Bonaparte’s decisive defeat in the Battle of Waterloo in 1815.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waterloo Target entity description: Waterloo is a historic municipality in Walloon Brabant, Belgium, best known as the site of Napoleon Bonaparte’s decisive defeat in the Battle of Waterloo 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 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 city in northeastern Iowa that serves as a regional hub for industry, transportation, and education along the Cedar River.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c1f76881909ad6d7777090f2e2 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651eecf481909bf0ea90001c83f3 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664d69a08190b92e34a0e1de48a7 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:30 p.m.