Triple
T24019227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeast Ridge of Mount Everest |
E594768
|
entity |
| Predicate | approximateSummitDayVerticalGain |
P30489
|
FINISHED |
| Object | 900–1000 metres |
—
|
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: 900–1000 metres | Statement: [Southeast Ridge of Mount Everest, approximateSummitDayVerticalGain, 900–1000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateSummitDayVerticalGain Context triple: [Southeast Ridge of Mount Everest, approximateSummitDayVerticalGain, 900–1000 metres]
-
A.
totalAscent
chosen
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
B.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
C.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
D.
typicalSummitTarget
Indicates that something is a usual or characteristic objective or destination associated with reaching a summit.
-
E.
summitDifficulty
Indicates the level of challenge or effort required to reach the summit of something (typically a mountain or peak).
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a7b5848190849e7a0f035465b3 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.