Triple
T21512256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWh |
E530754
|
entity |
| Predicate | hasEnergyBalanceCharacteristic |
P76787
|
FINISHED |
| Object | strong radiative cooling at night |
—
|
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: strong radiative cooling at night | Statement: [BWh, hasEnergyBalanceCharacteristic, strong radiative cooling at night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyBalanceCharacteristic Context triple: [BWh, hasEnergyBalanceCharacteristic, strong radiative cooling at night]
-
A.
hasEnergyBalanceEffect
Indicates that one entity produces an effect on the energy balance or energy regulation of another entity or system.
-
B.
hasEnergyBaseStatus
chosen
Indicates that an entity has a particular fundamental or baseline energy-related status or condition.
-
C.
hasEnergyManagement
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
-
D.
hasEnergyRole
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
E.
powerBalance
Indicates the relative distribution of power or influence between entities in a relationship or interaction.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.