Triple
T5935997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokko Housing I |
E132045
|
entity |
| Predicate | climateResponse |
P47078
|
FINISHED |
| Object | use of natural light and ventilation |
—
|
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: use of natural light and ventilation | Statement: [Rokko Housing I, climateResponse, use of natural light and ventilation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateResponse Context triple: [Rokko Housing I, climateResponse, use of natural light and ventilation]
-
A.
climate
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
-
B.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
C.
climateConsiderations
chosen
Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
-
D.
climateDriver
Indicates a factor or process that significantly influences or drives changes in climate conditions.
-
E.
climateChangeIndicator
Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.