Triple
T23385794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Area, Sierra Leone |
E593874
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Waterloo
Waterloo is a town in the Western Area of Sierra Leone that serves as a major suburban and transport hub near the capital, Freetown.
|
E1583195
|
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: [Western Area, Sierra Leone, contains, Waterloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterloo Context triple: [Western Area, Sierra Leone, contains, 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: [Western Area, Sierra Leone, contains, Waterloo]
Generated description
Waterloo is a town in the Western Area of Sierra Leone that serves as a major suburban and transport hub near the capital, Freetown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waterloo Target entity description: Waterloo is a town in the Western Area of Sierra Leone that serves as a major suburban and transport hub near the capital, Freetown.
-
A.
Waterloo
Waterloo is a suburban area within the Poole–Bournemouth urban region on the south coast of England.
-
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 city in northeastern Iowa that serves as a regional hub for industry, transportation, and education along the Cedar River.
-
D.
Waterloo
Waterloo is a village in North Lanarkshire, Scotland, forming part of the wider Wishaw area.
-
E.
Waterloo
Waterloo is a residential suburb in the city of Lower Hutt, within the Wellington region of New Zealand.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498286c8190abfa381649812cf0 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5de7b5e081908f965d84cb11ed9d |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c6086e718819093bbd0f3431739cf |
completed | May 19, 2026, 1:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60f685c881909ef5c259da2e661b |
completed | May 19, 2026, 1:09 p.m. |
Created at: April 17, 2026, 5:35 p.m.