Triple
T12608289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uli Biaho Tower |
E301040
|
entity |
| Predicate | firstAscentDuration |
P100989
|
FINISHED |
| Object | 10 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: 10 days | Statement: [Uli Biaho Tower, firstAscentDuration, 10 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAscentDuration Context triple: [Uli Biaho Tower, firstAscentDuration, 10 days]
-
A.
firstAscentDurationDays
chosen
Indicates the number of days taken to complete the first ascent of something.
-
B.
firstFreeAscentDuration
Indicates the length of time taken to complete the first free ascent of a route or climb.
-
C.
firstAscentStatus
Indicates whether and how a first ascent of something (such as a route, peak, or feature) has been achieved or recorded.
-
D.
firstAscent
Indicates that an entity represents the earliest known successful ascent or climb of a particular route, peak, or feature.
-
E.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:11 p.m.