Triple
T18700103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonatti Pillar |
E457223
|
entity |
| Predicate | climbedInStyle |
P100624
|
FINISHED |
| Object | alpine style (first ascent) |
—
|
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: alpine style (first ascent) | Statement: [Bonatti Pillar, climbedInStyle, alpine style (first ascent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbedInStyle Context triple: [Bonatti Pillar, climbedInStyle, alpine style (first ascent)]
-
A.
climbedWith
Indicates that one entity climbed together with another entity, sharing the ascent as a joint activity.
-
B.
climbedBy
Indicates that something is ascended or scaled by an agent or entity.
-
C.
climbedIn
Indicates that one entity moved upward to enter or get inside another entity, typically by climbing.
-
D.
hasClimb
Indicates that an entity performs or is capable of performing a climbing action on or over another entity or surface.
-
E.
typeOfClimb
chosen
Indicates the specific style or category of climbing activity associated with a climb (e.g., bouldering, sport, trad).
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562eb06b481908ef9efdb976008f3 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.