Triple
T12973157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamaica national bobsleigh team |
E321452
|
entity |
| Predicate | hasHomeCountryClimate |
P193
|
FINISHED |
| Object | tropical |
—
|
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: tropical | Statement: [Jamaica national bobsleigh team, hasHomeCountryClimate, tropical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeCountryClimate Context triple: [Jamaica national bobsleigh team, hasHomeCountryClimate, tropical]
-
A.
hasClimate
chosen
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
B.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
C.
nativeToClimate
Indicates that an entity naturally originates from or is originally adapted to a specified climate or climatic region.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
hasHomeCountryBias
Indicates that an entity shows preferential treatment, favoritism, or bias toward its own home country in its actions, decisions, or evaluations.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:36 p.m.