Triple
T27569872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solu |
E696002
|
entity |
| Predicate | elevationRelativeToKhumbu |
P169566
|
FINISHED |
| Object | lower |
—
|
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: lower | Statement: [Solu, elevationRelativeToKhumbu, lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRelativeToKhumbu Context triple: [Solu, elevationRelativeToKhumbu, lower]
-
A.
ThorongLaElevation
Indicates the elevation value associated with Thorong La.
-
B.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
C.
elevationAboveSurroundingPlains
Indicates that something is situated at a higher altitude than the nearby flat or low-lying surrounding plains.
-
D.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
E.
typicalBaseCampAltitude_m
Indicates the usual altitude, in meters, at which a base camp for an activity or expedition is typically established.
- F. None of above. chosen
Provenance (4 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 27, 2026, 1:43 p.m.