Triple
T6562681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Flowers (Kota Bunga) |
E153822
|
entity |
| Predicate | characteristicHighlight |
P7153
|
FINISHED |
| Object | cool 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: cool climate | Statement: [City of Flowers (Kota Bunga), characteristicHighlight, cool climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicHighlight Context triple: [City of Flowers (Kota Bunga), characteristicHighlight, cool climate]
-
A.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
B.
highlights
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
C.
keyFeature
chosen
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
D.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
characterizationFocus
Indicates that the primary emphasis or concern of a characterization is directed toward a particular aspect, feature, or dimension of the subject.
- 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.