Triple
T37936186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Polish winter expedition to Gasherbrum I |
E946356
|
entity |
| Predicate | mountainHeightCategory |
P35392
|
FINISHED |
| Object | eight-thousander |
—
|
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: eight-thousander | Statement: [2012 Polish winter expedition to Gasherbrum I, mountainHeightCategory, eight-thousander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainHeightCategory Context triple: [2012 Polish winter expedition to Gasherbrum I, mountainHeightCategory, eight-thousander]
-
A.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
B.
altitudeCategory
chosen
Indicates the classification of something based on its height or elevation relative to a reference level (e.g., low, medium, high altitude).
-
C.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
D.
homeMountainOf
Indicates that a particular mountain is the primary or native mountain associated with a given entity (such as a person, group, or organization).
-
E.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:20 p.m.