Triple
T16974069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo |
E411761
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Waterloo Beach
Waterloo Beach is a recreational waterfront area in Waterloo known for its sandy shoreline and outdoor leisure activities.
|
E1242666
|
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 Beach | Statement: [Waterloo, hasAttraction, Waterloo Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterloo Beach Context triple: [Waterloo, hasAttraction, Waterloo Beach]
-
A.
Ottawa Beach
Ottawa Beach is a popular Lake Michigan lakeshore destination in Michigan known for its sandy beach, scenic dunes, and recreational access near Holland Harbor.
-
B.
Avalon Beach
Avalon Beach is a coastal suburb and popular surf beach in Sydney’s Northern Beaches, known for its scenic headlands, relaxed village atmosphere, and strong beach culture.
-
C.
Cabbage Beach
Cabbage Beach is a popular white-sand beach on Paradise Island in the Bahamas, known for its clear turquoise waters and resort-lined shoreline.
-
D.
Oakwood Beach
Oakwood Beach is a coastal neighborhood and shoreline area on the East Shore of Staten Island in New York City.
-
E.
Cherry Beach
Cherry Beach is a popular lakeside recreational beach and park area located along Toronto’s waterfront on Lake Ontario.
- 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 Beach Triple: [Waterloo, hasAttraction, Waterloo Beach]
Generated description
Waterloo Beach is a recreational waterfront area in Waterloo known for its sandy shoreline and outdoor leisure activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waterloo Beach Target entity description: Waterloo Beach is a recreational waterfront area in Waterloo known for its sandy shoreline and outdoor leisure activities.
-
A.
Ottawa Beach
Ottawa Beach is a popular Lake Michigan lakeshore destination in Michigan known for its sandy beach, scenic dunes, and recreational access near Holland Harbor.
-
B.
Avalon Beach
Avalon Beach is a coastal suburb and popular surf beach in Sydney’s Northern Beaches, known for its scenic headlands, relaxed village atmosphere, and strong beach culture.
-
C.
Cabbage Beach
Cabbage Beach is a popular white-sand beach on Paradise Island in the Bahamas, known for its clear turquoise waters and resort-lined shoreline.
-
D.
Oakwood Beach
Oakwood Beach is a coastal neighborhood and shoreline area on the East Shore of Staten Island in New York City.
-
E.
Cherry Beach
Cherry Beach is a popular lakeside recreational beach and park area located along Toronto’s waterfront on Lake Ontario.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0af06688190a77682aa297cd27e |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d51835c48190b1a37de6ac25ceaa |
completed | May 10, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d59b96108190a0e55f01529a0b64 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.