Triple
T583550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Rosa |
E15107
|
entity |
| Predicate | hasFirstAscentYear |
P8812
|
FINISHED |
| Object | 1855 |
—
|
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: 1855 | Statement: [Monte Rosa, hasFirstAscentYear, 1855]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstAscentYear Context triple: [Monte Rosa, hasFirstAscentYear, 1855]
-
A.
firstAscentYear
chosen
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
-
B.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
-
C.
firstFreeAscentOfTheNoseBy
Indicates that the subject is the climber or party who made the first free ascent of the route known as “The Nose.”
-
D.
firstAscent
Indicates that an entity represents the earliest known successful ascent or climb of a particular route, peak, or feature.
-
E.
firstFreeAscentOfTheNose
Indicates that the subject performed the first free (aidless) ascent of the climbing route or feature known as “The Nose.”
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.