Triple
T11807892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Caldwell |
E280795
|
entity |
| Predicate | yearOfDawnWallAscent |
P101398
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Tommy Caldwell, yearOfDawnWallAscent, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfDawnWallAscent Context triple: [Tommy Caldwell, yearOfDawnWallAscent, 2015]
-
A.
firstAscentYear
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
-
B.
firstOneDayAscentYear
Indicates the calendar year in which the first successful one-day ascent of something (such as a route, peak, or climb) was completed.
-
C.
firstAscentDurationDays
Indicates the number of days taken to complete the first ascent of something.
-
D.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
-
E.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.