Triple
T27511807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbin Polarland |
E694435
|
entity |
| Predicate | approximateClimateContext |
P32804
|
FINISHED |
| Object | cold winter city |
—
|
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: cold winter city | Statement: [Harbin Polarland, approximateClimateContext, cold winter city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateClimateContext Context triple: [Harbin Polarland, approximateClimateContext, cold winter city]
-
A.
hasClimateContext
chosen
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
B.
climateBetween
Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
-
C.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
D.
averageClimateDescription
Indicates the general or typical climate characteristics associated with an entity, often summarizing conditions like temperature and precipitation over time.
-
E.
preferredClimate
Indicates the type of climate that an entity favors or is most suited to.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 27, 2026, 1:16 p.m.