Triple
T17056533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Sadpara |
E413834
|
entity |
| Predicate | dateOfFirstWinterAscentOfNangaParbat |
P30828
|
FINISHED |
| Object | 2016-02-26 |
—
|
LITERAL 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: 2016-02-26 | Statement: [Ali Sadpara, dateOfFirstWinterAscentOfNangaParbat, 2016-02-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstWinterAscentOfNangaParbat Context triple: [Ali Sadpara, dateOfFirstWinterAscentOfNangaParbat, 2016-02-26]
-
A.
firstWinterAscentDate
chosen
Indicates the calendar date on which the first successful winter ascent of something (typically a route, peak, or climb) was completed.
-
B.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
-
C.
firstWinterAscentBy
Indicates that the subject was first successfully climbed in winter conditions by the specified person or party.
-
D.
firstRecordedAsClimbedBy
Indicates the person or group who is credited with making the first recorded ascent of a particular climb or peak.
-
E.
firstAscentYear
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7a96288190bd985f79c3f55623 |
completed | April 18, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.