Triple
T33516353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotwand |
E858375
|
entity |
| Predicate | hasAlpinePasturesNearby |
P154416
|
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: [Rotwand, hasAlpinePasturesNearby, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlpinePasturesNearby Context triple: [Rotwand, hasAlpinePasturesNearby, yes]
-
A.
hasAlpinePasture
chosen
Indicates that an entity possesses or is associated with an alpine pasture area used for grazing or related activities.
-
B.
hasAlpineTundra
Indicates that something possesses or is characterized by an alpine tundra environment or habitat.
-
C.
hasMountainHutsNearby
Indicates that a location or geographic feature has one or more mountain huts situated in its nearby surroundings.
-
D.
hasAlpineFlora
Indicates that an entity possesses or is characterized by plant life typical of high-altitude alpine environments.
-
E.
hasSkiResortNearby
Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:39 a.m.