Triple
T23603343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andean mountain cat |
E582818
|
entity |
| Predicate | coatAdaptation |
P152888
|
FINISHED |
| Object | adapted to cold high-altitude climate |
—
|
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: adapted to cold high-altitude climate | Statement: [Andean mountain cat, coatAdaptation, adapted to cold high-altitude climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatAdaptation Context triple: [Andean mountain cat, coatAdaptation, adapted to cold high-altitude climate]
-
A.
adaptationAppearance
Indicates that one entity appears or is depicted in an adaptation of another entity (such as a work being represented in a derived or reinterpreted version).
-
B.
adaptationStyle
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
-
C.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
D.
adjustsFor
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
-
E.
mayAdapt
Indicates that one entity is permitted or allowed to modify, adjust, or alter another entity.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b095410481908446f44c402f9dc7 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.