Triple
T6971904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roof of the World |
E161616
|
entity |
| Predicate | environmentDescribed |
P2900
|
FINISHED |
| Object | thin atmosphere |
—
|
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: thin atmosphere | Statement: [Roof of the World, environmentDescribed, thin atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentDescribed Context triple: [Roof of the World, environmentDescribed, thin atmosphere]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
C.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
-
D.
environmentalCondition
chosen
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
E.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db398f10819096d34b179ccb20d5 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.