Triple
T762888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnipeg |
E16109
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object |
Winterpeg
Winterpeg is a humorous nickname for Winnipeg, Canada, referencing the city's notoriously long, cold, and snowy winters.
|
E90051
|
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: Winterpeg | Statement: [Winnipeg, hasNickName, Winterpeg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winterpeg Context triple: [Winnipeg, hasNickName, Winterpeg]
-
A.
Windigo
Windigo is a small visitor area and campground on the remote western end of Isle Royale in Lake Superior, serving as a key entry point and services hub for park visitors.
-
B.
The Beaver
The Beaver is a 2011 drama film starring Mel Gibson as a depressed man who begins communicating through a beaver hand puppet, directed by Jodie Foster.
-
C.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
D.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
E.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
- 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: Winterpeg Triple: [Winnipeg, hasNickName, Winterpeg]
Generated description
Winterpeg is a humorous nickname for Winnipeg, Canada, referencing the city's notoriously long, cold, and snowy winters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winterpeg Target entity description: Winterpeg is a humorous nickname for Winnipeg, Canada, referencing the city's notoriously long, cold, and snowy winters.
-
A.
Windigo
Windigo is a small visitor area and campground on the remote western end of Isle Royale in Lake Superior, serving as a key entry point and services hub for park visitors.
-
B.
The Beaver
The Beaver is a 2011 drama film starring Mel Gibson as a depressed man who begins communicating through a beaver hand puppet, directed by Jodie Foster.
-
C.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
D.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
E.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6841f388190a6d08c3bf5c17fe4 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e46d86c81908bc0ea469ccb091d |
completed | March 3, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69a65eeaa34481909b0deac860fbadfc |
completed | March 3, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65f7b09b08190bf38f02a912b2276 |
completed | March 3, 2026, 4:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.