Triple
T3643918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemosho Route |
E77251
|
entity |
| Predicate | acclimatizationStrategy |
P49990
|
FINISHED |
| Object | climb high sleep low |
—
|
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: climb high sleep low | Statement: [Lemosho Route, acclimatizationStrategy, climb high sleep low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acclimatizationStrategy Context triple: [Lemosho Route, acclimatizationStrategy, climb high sleep low]
-
A.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
B.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
C.
nativeToClimate
Indicates that an entity naturally originates from or is originally adapted to a specified climate or climatic region.
-
D.
adaptationCountry
Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
-
E.
adaptationStatus
Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.