Triple
T9355860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake 2002 mascots set |
E225135
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Aspen |
E186546
|
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: Aspen | Statement: [Salt Lake 2002 mascots set, hasPart, Aspen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspen Context triple: [Salt Lake 2002 mascots set, hasPart, Aspen]
-
A.
Aspen, Colorado
chosen
Aspen, Colorado is a renowned Rocky Mountain resort town in Colorado known for its world-class skiing, upscale tourism, and vibrant cultural scene.
-
B.
Vail
Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
-
C.
Sun Valley
Sun Valley is a working-class neighborhood in the San Fernando Valley region of Los Angeles known for its industrial areas, residential communities, and proximity to major freeways.
-
D.
Sun Valley
Sun Valley is the internal codename Microsoft used for the major user interface redesign that debuted with Windows 11.
-
E.
Breckenridge, Colorado
Breckenridge, Colorado is a historic Rocky Mountain town and popular year-round tourist destination known for its world-class skiing, vibrant Main Street, and outdoor recreation.
- 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_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_69d0f3d248a88190b7d17af66e2903c5 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:42 p.m.