Triple
T13429502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor |
E313570
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Rose City
Rose City is a popular nickname for Windsor, Ontario, reflecting its historic reputation for beautiful public gardens and rose cultivation.
|
E1040540
|
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: Rose City | Statement: [Windsor, hasNickname, Rose City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose City Context triple: [Windsor, hasNickname, Rose City]
-
A.
Rose City
Rose City is the nickname of Welland, Ontario, a Canadian city historically known for its abundance of roses and floral beauty.
-
B.
The Rose City
The Rose City is a nickname for Madison, New Jersey, reflecting its historic association with rose cultivation and its charming, garden-like character.
-
C.
Portland
Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
-
D.
Portland
Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
-
E.
Portland
Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
- 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: Rose City Triple: [Windsor, hasNickname, Rose City]
Generated description
Rose City is a popular nickname for Windsor, Ontario, reflecting its historic reputation for beautiful public gardens and rose cultivation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rose City Target entity description: Rose City is a popular nickname for Windsor, Ontario, reflecting its historic reputation for beautiful public gardens and rose cultivation.
-
A.
Rose City
Rose City is the nickname of Welland, Ontario, a Canadian city historically known for its abundance of roses and floral beauty.
-
B.
The Rose City
The Rose City is a nickname for Madison, New Jersey, reflecting its historic association with rose cultivation and its charming, garden-like character.
-
C.
Portland
Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
-
D.
Portland
Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
-
E.
Portland
Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
- 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.