Triple
T32470516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hermon Ski Resort |
E829834
|
entity |
| Predicate | isOnlyMajorSkiAreaIn |
P174213
|
FINISHED |
| Object | Israel |
—
|
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: Israel | Statement: [Mount Hermon Ski Resort, isOnlyMajorSkiAreaIn, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnlyMajorSkiAreaIn Context triple: [Mount Hermon Ski Resort, isOnlyMajorSkiAreaIn, Israel]
-
A.
isMajorSkiResortIn
Indicates that a location is recognized as a major ski resort situated within a specified geographic area or region.
-
B.
isLargestSkiAreaIn
Indicates that a ski area has the greatest size (e.g., by area or extent of slopes) within the specified region or set.
-
C.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
D.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
-
E.
hasSkiRunsFor
Indicates that something provides or includes ski runs that are suitable or intended for a particular user group or purpose.
- F. None of above. chosen
Provenance (4 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c354b42c8190a72d2c0c69babf5e |
completed | May 3, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:57 a.m.