Triple
T17740192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz-Josefs-Höhe |
E442831
|
entity |
| Predicate | offersEducationalExperience |
P48639
|
FINISHED |
| Object | glacier retreat observation |
—
|
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: glacier retreat observation | Statement: [Franz-Josefs-Höhe, offersEducationalExperience, glacier retreat observation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersEducationalExperience Context triple: [Franz-Josefs-Höhe, offersEducationalExperience, glacier retreat observation]
-
A.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
B.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
C.
offersExperientialLearning
chosen
Indicates that one entity provides another with hands-on, practical learning opportunities gained through direct experience.
-
D.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
E.
offersDaySchooling
Indicates that an entity provides daytime educational services without overnight accommodation.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acc2610819099451b02bb51891f |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.