Triple
T25756054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch Mountain ski area |
E648599
|
entity |
| Predicate | catSkiingAreaName |
P136082
|
FINISHED |
| Object |
Monarch Cat Skiing
Monarch Cat Skiing is a guided backcountry snowcat skiing and riding operation offering access to expert terrain beyond the lift-served boundaries of Monarch Mountain in Colorado.
|
E1692680
|
NE FINISHED |
How this triple was built (3 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: Monarch Cat Skiing | Statement: [Monarch Mountain ski area, catSkiingAreaName, Monarch Cat Skiing]
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: Monarch Cat Skiing Triple: [Monarch Mountain ski area, catSkiingAreaName, Monarch Cat Skiing]
Generated description
Monarch Cat Skiing is a guided backcountry snowcat skiing and riding operation offering access to expert terrain beyond the lift-served boundaries of Monarch Mountain in Colorado.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catSkiingAreaName Context triple: [Monarch Mountain ski area, catSkiingAreaName, Monarch Cat Skiing]
-
A.
catSkiingArea
chosen
Indicates a skiing area that is accessed or serviced by snowcat transportation (cat skiing).
-
B.
skiAreaName
Indicates that an entity has a specific name used to identify a ski area.
-
C.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
D.
skiAreaServedBy
Indicates that a ski area is provided with services, access, or support by a specified entity (such as a company, organization, or facility).
-
E.
hasSkiAreaLevel
Indicates that an entity is associated with a ski area of a particular level or difficulty classification.
- F. None of above.
Provenance (6 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd82a170819092909e7f67e863b8 |
completed | May 2, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc1284708190a5bfdcf86fec63e0 |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10cc81bb8881909413a1b8924a0fe2 |
completed | May 22, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10cd0fbcc08190a12ded88d999feab |
completed | May 22, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 4:40 a.m.