Triple
T29506430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahsan |
E748525
|
entity |
| Predicate | climateZoneCountry |
P77118
|
FINISHED |
| Object | tropical 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: tropical climate | Statement: [Mahsan, climateZoneCountry, tropical climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateZoneCountry Context triple: [Mahsan, climateZoneCountry, tropical climate]
-
A.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
-
B.
climatologicalRegion
chosen
Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
-
C.
climateTypeRelative
Indicates a relationship where one entity’s climate type is characterized, classified, or compared in relation to another reference climate type.
-
D.
climateTypeRelativeToIsland
Indicates how the climate of one location compares to or is characterized relative to the climate of a specified island.
-
E.
climateSubgroup
Indicates that one climate category is a more specific subgroup or subtype within another, broader climate category.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c3693708190b6dad5d67ec89441 |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:28 p.m.