Triple
T25672905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Mummery |
E643725
|
entity |
| Predicate | attemptedFirstAscentOf |
P158973
|
FINISHED |
| Object | Nanga Parbat |
—
|
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: Nanga Parbat | Statement: [Albert Mummery, attemptedFirstAscentOf, Nanga Parbat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedFirstAscentOf Context triple: [Albert Mummery, attemptedFirstAscentOf, Nanga Parbat]
-
A.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
-
B.
coFirstAscentOf
Indicates that multiple climbers or parties share credit for making the first recorded ascent of a particular route, peak, or climbing objective.
-
C.
madeFirstWinterAscentWith
Indicates that the subject and the object jointly completed the first successful ascent of a route or peak during winter conditions.
-
D.
firstWinterAscentBy
Indicates that the subject was first successfully climbed in winter conditions by the specified person or party.
-
E.
firstAscentRouteOf
Indicates that a particular climbing route is the one used for the first successful ascent of a specific peak or climbing objective.
- F. None of above. chosen
Provenance (4 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3460488190a720fe1f708509f2 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 7:31 p.m.