Triple
T9188848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phương Liệt Ward |
E220527
|
entity |
| Predicate | climateClassificationRegion |
P29133
|
FINISHED |
| Object | humid subtropical 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: humid subtropical climate | Statement: [Phương Liệt Ward, climateClassificationRegion, humid subtropical climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateClassificationRegion Context triple: [Phương Liệt Ward, climateClassificationRegion, humid subtropical climate]
-
A.
climatologicalRegion
Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
-
B.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
-
C.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
D.
climatologicalType
chosen
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
E.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31d91d48190b8b8874e09c84404 |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.