Triple
T3287992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel-Gabriel Paccard |
E69031
|
entity |
| Predicate | dateOfFirstAscentOfMontBlanc |
P47739
|
FINISHED |
| Object | 1786-08-08 |
—
|
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: 1786-08-08 | Statement: [Michel-Gabriel Paccard, dateOfFirstAscentOfMontBlanc, 1786-08-08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstAscentOfMontBlanc Context triple: [Michel-Gabriel Paccard, dateOfFirstAscentOfMontBlanc, 1786-08-08]
-
A.
firstWinterAscentDate
Indicates the calendar date on which the first successful winter ascent of something (typically a route, peak, or climb) was completed.
-
B.
firstRecordedAscentAfter1815
Indicates that the first recorded ascent of something (typically a peak or route) occurred after the year 1815.
-
C.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
-
D.
firstFreeAscentOfTheNoseBy
Indicates that the subject is the climber or party who made the first free ascent of the route known as “The Nose.”
-
E.
firstAscentYear
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.