Triple
T15507295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyskamm |
E379114
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | F. Andermatten |
E726176
|
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: F. Andermatten | Statement: [Lyskamm, firstAscentBy, F. Andermatten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F. Andermatten Context triple: [Lyskamm, firstAscentBy, F. Andermatten]
-
A.
F. Andermatten
chosen
F. Andermatten was a mountaineer known for making the first recorded ascent of the Lenzspitze in the Swiss Alps.
-
B.
Franz Andenmatten
Franz Andenmatten was a Swiss mountaineer known for pioneering ascents in the Alps, including early climbs of prominent peaks such as the Allalinhorn.
-
C.
Rodrigue Schneiter
Rodrigue Schneiter was a French engineer known for helping design the pioneering Renault FT light tank used in World War I.
-
D.
Ruetz
Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
-
E.
Murten
Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.