Triple
T26641266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangchenjunga Base Camp trekking route |
E668784
|
entity |
| Predicate | approximateMinElevationMeters |
P35776
|
FINISHED |
| Object | 1200 |
—
|
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: 1200 | Statement: [Kangchenjunga Base Camp trekking route, approximateMinElevationMeters, 1200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateMinElevationMeters Context triple: [Kangchenjunga Base Camp trekking route, approximateMinElevationMeters, 1200]
-
A.
elevationMinApprox
chosen
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
B.
elevationMinM
Indicates the minimum elevation, measured in meters, at which an entity or phenomenon occurs or is situated.
-
C.
elevationMinFeet
Indicates the minimum elevation of an entity or location, measured in feet.
-
D.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
E.
elevationCoverageApproximate
Indicates an approximate or estimated representation of how elevation values are covered or distributed over a given area or dataset.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 2:29 a.m.