Triple
T31259278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steamboat Ski Resort |
E797072
|
entity |
| Predicate | terrainParks |
P18015
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Steamboat Ski Resort, terrainParks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terrainParks Context triple: [Steamboat Ski Resort, terrainParks, yes]
-
A.
hasTerrainPark
chosen
Indicates that a location or facility includes a designated terrain park area for activities such as skiing or snowboarding.
-
B.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
-
C.
majorPark
Indicates that a park is classified as a major or primary park within a given area or system.
-
D.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
E.
openAirAttraction
Indicates that an attraction or event takes place outdoors in an open-air setting rather than in an enclosed space.
- F. None of above.
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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:12 p.m.