Triple
T831255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grossglockner |
E17969
|
entity |
| Predicate | hasParentPeak |
P1319
|
FINISHED |
| Object | Finsteraarhorn |
E115447
|
NE 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: Finsteraarhorn | Statement: [Grossglockner, hasParentPeak, Finsteraarhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finsteraarhorn Context triple: [Grossglockner, hasParentPeak, Finsteraarhorn]
-
A.
Finsteraarhorn
chosen
Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
-
B.
Lauteraarhorn
Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
-
C.
Schreckhorn
Schreckhorn is a prominent and rugged mountain peak in the Swiss Alps, known for its challenging climbs and striking glaciated scenery.
-
D.
Aletschhorn
Aletschhorn is a prominent high peak in the Swiss Alps known for its extensive glaciation and challenging alpine climbs.
-
E.
Dufourspitze
Dufourspitze is the highest peak of the Monte Rosa massif in the Pennine Alps and the second-highest mountain in the Alps and Western Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbad10ae48190af7dcaa8dfff30ec |
completed | March 7, 2026, 11:54 p.m. |
Created at: March 1, 2026, 7:38 p.m.