Triple
T6562691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Flowers (Kota Bunga) |
E153822
|
entity |
| Predicate | climateAssociation |
P229
|
FINISHED |
| Object | mild highland climate |
—
|
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: mild highland climate | Statement: [City of Flowers (Kota Bunga), climateAssociation, mild highland climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateAssociation Context triple: [City of Flowers (Kota Bunga), climateAssociation, mild highland climate]
-
A.
climate
chosen
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
-
B.
climateDriver
Indicates a factor or process that significantly influences or drives changes in climate conditions.
-
C.
climateChangeEffect
Indicates how climate change influences or alters a particular entity, condition, or process.
-
D.
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.
-
E.
climateConsiderations
Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.