Triple
T18899768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Blanc south face climbing area |
E462304
|
entity |
| Predicate | bestKnownAspect |
P30328
|
FINISHED |
| Object | south aspect of Mont Blanc |
—
|
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: south aspect of Mont Blanc | Statement: [Mont Blanc south face climbing area, bestKnownAspect, south aspect of Mont Blanc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownAspect Context triple: [Mont Blanc south face climbing area, bestKnownAspect, south aspect of Mont Blanc]
-
A.
bestKnownSingle
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
-
B.
hasProminentAspect
chosen
Indicates that an entity possesses a particularly notable, dominant, or emphasized aspect or feature.
-
C.
typicalAspect
Indicates that something represents a characteristic or commonly occurring aspect of another thing or situation.
-
D.
bestKnownStructure
Indicates that the related entity is the most prominent or widely recognized structure associated with the subject.
-
E.
basedOnAspect
Indicates that one entity is derived, determined, or defined according to a particular aspect, feature, or dimension of another entity.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5289ba48190a6825c4db2e5e48d |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.