Triple
T9355872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake 2002 mascots set |
E225135
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sierra
Sierra is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as a coyote symbolizing the American West and Olympic spirit.
|
E800400
|
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: Sierra | Statement: [Salt Lake 2002 mascots set, hasPart, Sierra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra Context triple: [Salt Lake 2002 mascots set, hasPart, Sierra]
-
A.
Sierra
Sierra is one of the central "Actives" in the TV series *Dollhouse*, known for her complex backstory and evolving sense of identity amid the show's mind-wiping technology.
-
B.
Sierra
Sierra is a residential neighborhood within the master-planned Great Park Neighborhoods community in Irvine, California.
-
C.
Sierra
Sierra is a renowned video game company best known for its pioneering graphic adventure games and influential role in the early PC gaming industry.
-
D.
Sierra
Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
-
E.
Sierra Nevada
Sierra Nevada is a prominent mountain range in southern Spain known for its high peaks, ski resorts, and inclusion in a national park.
- 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: Sierra Triple: [Salt Lake 2002 mascots set, hasPart, Sierra]
Generated description
Sierra is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as a coyote symbolizing the American West and Olympic spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sierra Target entity description: Sierra is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as a coyote symbolizing the American West and Olympic spirit.
-
A.
Sierra
Sierra is a renowned video game company best known for its pioneering graphic adventure games and influential role in the early PC gaming industry.
-
B.
Sierra
Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
-
C.
Sierra
Sierra is one of the central "Actives" in the TV series *Dollhouse*, known for her complex backstory and evolving sense of identity amid the show's mind-wiping technology.
-
D.
Sierra
Sierra is a residential neighborhood within the master-planned Great Park Neighborhoods community in Irvine, California.
-
E.
Sierra Nevada
Sierra Nevada is a prominent mountain range in southern Spain known for its high peaks, ski resorts, and inclusion in a national park.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f99205c8190a5ad95926ef25497 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1220b4be48190aecba672fd10d035 |
completed | April 4, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 30, 2026, 7:42 p.m.