Triple
T19163666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gypsum, Colorado |
E469121
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vail, Colorado |
—
|
NE NERFINISHED |
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: Vail, Colorado | Statement: [Gypsum, Colorado, near, Vail, Colorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vail, Colorado Context triple: [Gypsum, Colorado, near, Vail, Colorado]
-
A.
Vail
Vail is a surname most notably associated with Alfred Vail, an American inventor who helped develop and commercialize the telegraph and Morse code.
-
B.
Vail
chosen
Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
-
C.
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.
-
D.
Breckenridge
Breckenridge is a surname most notably associated with American actress Alexandra Breckenridge, known for her roles in television series such as "This Is Us" and "Virgin River."
-
E.
Aspen, Colorado
Aspen, Colorado is a renowned Rocky Mountain resort town in Colorado known for its world-class skiing, upscale tourism, and vibrant cultural scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebeb9848190ad4ae4c61fa14e08 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.