Triple
T15374911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalamalka Lake |
E367641
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
City of Vernon
The City of Vernon is a small urban center in British Columbia’s Okanagan region, known for its surrounding lakes, outdoor recreation, and tourism.
|
E1153538
|
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: City of Vernon | Statement: [Kalamalka Lake, hasNearbySettlement, City of Vernon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Vernon Context triple: [Kalamalka Lake, hasNearbySettlement, City of Vernon]
-
A.
Vernon
Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
-
B.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
C.
Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
-
D.
Vernon
Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
-
E.
Vernon
Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
- 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: City of Vernon Triple: [Kalamalka Lake, hasNearbySettlement, City of Vernon]
Generated description
The City of Vernon is a small urban center in British Columbia’s Okanagan region, known for its surrounding lakes, outdoor recreation, and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City of Vernon Target entity description: The City of Vernon is a small urban center in British Columbia’s Okanagan region, known for its surrounding lakes, outdoor recreation, and tourism.
-
A.
Vernon
Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
-
B.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
C.
Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
-
D.
Vernon
Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
-
E.
Vernon
Vernon is a Korean-American rapper and songwriter best known as a member of the K-pop boy group Seventeen.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5d6f808190b0a4cdb35dc89e69 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5502508190bd39b6d81ee57cc0 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0f400ec08190961c63f957efe107 |
completed | May 9, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0fbef36081908a0f6317a32f9c28 |
completed | May 9, 2026, 10:43 a.m. |
Created at: April 10, 2026, 3:18 a.m.