Triple
T20159108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberammergau |
E491655
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object | Kofel |
—
|
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: Kofel | Statement: [Oberammergau, hasNearbyMountain, Kofel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kofel Context triple: [Oberammergau, hasNearbyMountain, Kofel]
-
A.
Kofel
chosen
Kofel is a distinctive, steep limestone peak overlooking the town of Oberammergau in the Ammergau Alps of Bavaria, Germany, popular with hikers and climbers.
-
B.
Schrankogel
Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
-
C.
Bärenkopf
Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
-
D.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
E.
Wendelstein mountain
Wendelstein mountain is a prominent peak in the Bavarian Alps of southern Germany, known for its panoramic views, observatory, and historic cogwheel railway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.