Triple
T7531447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Khutor Alpine Resort |
E178031
|
entity |
| Predicate | hasVerticalDrop_m |
P69355
|
FINISHED |
| Object | about 1760 |
—
|
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: about 1760 | Statement: [Rosa Khutor Alpine Resort, hasVerticalDrop_m, about 1760]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerticalDrop_m Context triple: [Rosa Khutor Alpine Resort, hasVerticalDrop_m, about 1760]
-
A.
verticalDrop_ft
chosen
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
B.
hasDropType
Indicates that an entity is associated with a specific type or category of drop (e.g., item, reward, or resource obtained).
-
C.
hasDescent
Indicates that one entity is a descendant of another, typically through a lineage or ancestry relationship.
-
D.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
E.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.