Triple
T18581262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faulhorn |
E454118
|
entity |
| Predicate | mountainHotelIsOneOf |
P132662
|
FINISHED |
| Object | oldest mountain hotels in the Alps |
—
|
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: oldest mountain hotels in the Alps | Statement: [Faulhorn, mountainHotelIsOneOf, oldest mountain hotels in the Alps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainHotelIsOneOf Context triple: [Faulhorn, mountainHotelIsOneOf, oldest mountain hotels in the Alps]
-
A.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
B.
holyMountain
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
C.
isResortOf
Indicates that a location or facility functions as a resort associated with, belonging to, or serving a particular entity (such as a city, region, or organization).
-
D.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
-
E.
operatesOnMountain
Indicates that an entity performs operations, activities, or functions on or in relation to a mountain.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cffd34819090d636fd584f51db |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.