Triple
T9573871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fastest Ice on Earth |
E230993
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kearns, Utah |
E298710
|
NE FINISHED |
How this triple was built (2 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: Kearns, Utah | Statement: [Fastest Ice on Earth, locatedIn, Kearns, Utah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kearns, Utah Context triple: [Fastest Ice on Earth, locatedIn, Kearns, Utah]
-
A.
Kearns, Utah
chosen
Kearns, Utah is a suburban community in Salt Lake County best known as the site of the Utah Olympic Oval, a premier speed skating venue from the 2002 Winter Olympics.
-
B.
Kelton, Utah
Kelton, Utah is a historic ghost town in northern Utah that once served as an important stop along the First Transcontinental Railroad.
-
C.
Elwood, Utah
Elwood, Utah is a small rural town located in northern Utah within the Bear River Valley.
-
D.
Orem, Utah
Orem, Utah is a rapidly growing city along the Wasatch Front known for its family-friendly suburbs, proximity to Brigham Young University, and role as a commercial and educational hub in central Utah.
-
E.
Kamas, Utah
Kamas, Utah is a small city in northeastern Utah known as a gateway to the Uinta Mountains and nearby outdoor recreation areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79445b9288190a684184285966fa8 |
completed | April 9, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:05 p.m.