Triple
T5696115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukittinggi |
E125543
|
entity |
| Predicate | hasCoolerClimateThan |
P22258
|
FINISHED |
| Object | many lowland Sumatran cities |
—
|
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: many lowland Sumatran cities | Statement: [Bukittinggi, hasCoolerClimateThan, many lowland Sumatran cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoolerClimateThan Context triple: [Bukittinggi, hasCoolerClimateThan, many lowland Sumatran cities]
-
A.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
B.
isColderThan
chosen
Indicates that one entity has a lower temperature than another entity.
-
C.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
D.
preferredClimate
Indicates the type of climate that an entity favors or is most suited to.
-
E.
nativeToClimate
Indicates that an entity naturally originates from or is originally adapted to a specified climate or climatic region.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.