Triple
T37820000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn Wall route |
E942881
|
entity |
| Predicate | timeForFirstFreeAscent |
P40574
|
FINISHED |
| Object | 19 days |
—
|
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: 19 days | Statement: [Dawn Wall route, timeForFirstFreeAscent, 19 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeForFirstFreeAscent Context triple: [Dawn Wall route, timeForFirstFreeAscent, 19 days]
-
A.
firstFreeAscentDuration
chosen
Indicates the length of time taken to complete the first free ascent of a route or climb.
-
B.
firstFreeAscentStartDate
Indicates the calendar date on which the first successful, previously unclimbed ascent of something (e.g., a route or peak) began.
-
C.
firstFreeAscentDate
Indicates the date on which the first successful ascent of a route, peak, or climb was completed without the use of artificial aids for upward progress.
-
D.
firstFreeAscentEndDate
Indicates the date on which the first free ascent of something was completed.
-
E.
firstAscentDurationDays
Indicates the number of days taken to complete the first ascent of something.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.