Triple
T5563053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mischabel group |
E145810
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Klein Bigerhorn |
E534239
|
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: Klein Bigerhorn | Statement: [Mischabel group, contains, Klein Bigerhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klein Bigerhorn Context triple: [Mischabel group, contains, Klein Bigerhorn]
-
A.
Gross Bigerhorn
chosen
Gross Bigerhorn is a mountain peak in the Swiss Alps, located within the Mischabel range in the canton of Valais.
-
B.
Big Horn
Big Horn is a popular mid-level trim package for the Ram 1500 pickup truck that adds upgraded comfort, convenience, and styling features over the base model.
-
C.
Mount Bierstadt
Mount Bierstadt is a popular Colorado fourteener known for its relatively accessible hike and scenic alpine views near Guanella Pass.
-
D.
Grizzly Peak
Grizzly Peak is a themed land at Disney California Adventure Park inspired by California’s wilderness, featuring forested landscapes, a bear-shaped mountain, and outdoor adventure attractions.
-
E.
Grizzly Peak
Grizzly Peak is a prominent summit in the Berkeley Hills of the San Francisco Bay Area, known for its panoramic views of the bay and surrounding cities.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059ebd4008190ba410fac13900fe0 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:36 p.m.