Triple
T8778169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Purtscheller |
E208650
|
entity |
| Predicate | partnerInFirstAscentOfKilimanjaro |
P74728
|
FINISHED |
| Object | Hans Meyer |
—
|
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: Hans Meyer | Statement: [Ludwig Purtscheller, partnerInFirstAscentOfKilimanjaro, Hans Meyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInFirstAscentOfKilimanjaro Context triple: [Ludwig Purtscheller, partnerInFirstAscentOfKilimanjaro, Hans Meyer]
-
A.
firstRecordedAsClimbedBy
Indicates the person or group who is credited with making the first recorded ascent of a particular climb or peak.
-
B.
coFirstAscentOf
chosen
Indicates that multiple climbers or parties share credit for making the first recorded ascent of a particular route, peak, or climbing objective.
-
C.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
-
D.
firstAscentExpeditionNationality
Indicates the nationality associated with the expedition that made the first ascent of a given peak or route.
-
E.
firstWinterAscentBy
Indicates that the subject was first successfully climbed in winter conditions by the specified person or party.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f51b3d48190b542a0423d3938e0 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.