Triple
T37729084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emory Peak |
E940105
|
entity |
| Predicate | hasRelativeCoolerClimateThan |
P22258
|
FINISHED |
| Object | surrounding desert floor |
—
|
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: surrounding desert floor | Statement: [Emory Peak, hasRelativeCoolerClimateThan, surrounding desert floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeCoolerClimateThan Context triple: [Emory Peak, hasRelativeCoolerClimateThan, surrounding desert floor]
-
A.
hasWarmerWintersThan
Indicates that the typical winter temperatures in one entity are higher than those in another entity.
-
B.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
C.
climateTypeRelative
Indicates a relationship where one entity’s climate type is characterized, classified, or compared in relation to another reference climate type.
-
D.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
E.
isColderThan
chosen
Indicates that one entity has a lower temperature than another entity.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.