Triple
T13429518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor |
E313570
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Lakeshore
Lakeshore is a town in southwestern Ontario, Canada, situated along the shores of Lake St. Clair just east of Windsor.
|
E1040543
|
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: Lakeshore | Statement: [Windsor, hasNeighbour, Lakeshore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakeshore Context triple: [Windsor, hasNeighbour, Lakeshore]
-
A.
Shoreline
"Shoreline" is a poem featured in Seamus Heaney’s 1972 collection *Wintering Out*, reflecting his characteristic engagement with landscape, memory, and identity.
-
B.
Shoreline
Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
-
C.
Lakeside
Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
-
D.
Lakeside
Lakeside is a major retail and leisure destination in Essex, England, known for its large shopping centre and surrounding entertainment complex.
-
E.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
- 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: Lakeshore Triple: [Windsor, hasNeighbour, Lakeshore]
Generated description
Lakeshore is a town in southwestern Ontario, Canada, situated along the shores of Lake St. Clair just east of Windsor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakeshore Target entity description: Lakeshore is a town in southwestern Ontario, Canada, situated along the shores of Lake St. Clair just east of Windsor.
-
A.
Shoreline
"Shoreline" is a poem featured in Seamus Heaney’s 1972 collection *Wintering Out*, reflecting his characteristic engagement with landscape, memory, and identity.
-
B.
Shoreline
Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
-
C.
Lakeside
Lakeside is a major retail and leisure destination in Essex, England, known for its large shopping centre and surrounding entertainment complex.
-
D.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
-
E.
Lakeside
Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398b828c8190a029a5862ae1fded |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.