Triple
T10424010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Death |
E245736
|
entity |
| Predicate | associatedWithCamouflage |
P1200
|
FINISHED |
| Object | white winter camouflage |
—
|
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: white winter camouflage | Statement: [White Death, associatedWithCamouflage, white winter camouflage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCamouflage Context triple: [White Death, associatedWithCamouflage, white winter camouflage]
-
A.
canCamouflage
Indicates that an entity has the ability to blend into its surroundings or alter its appearance to avoid detection.
-
B.
camouflageEffectiveness
Indicates how well one entity’s appearance or behavior conceals it from detection by another entity or sensing system.
-
C.
camouflagePattern
chosen
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
D.
associatedWithHunting
Indicates a relationship where an entity is connected to, involved in, or commonly linked with the activity or practice of hunting.
-
E.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea47a6408190a87b32760692487f |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:12 p.m.