Triple
T26110247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namlea |
E658671
|
entity |
| Predicate | hasRelativelyLowRainfallForRegion |
P193645
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Namlea, hasRelativelyLowRainfallForRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativelyLowRainfallForRegion Context triple: [Namlea, hasRelativelyLowRainfallForRegion, true]
-
A.
isLowland
Indicates that an entity is located in, associated with, or characteristic of lowland areas or low-lying terrain relative to surrounding regions.
-
B.
hasHigherPrecipitationThan
Indicates that one location or time period experiences a greater amount of precipitation than another.
-
C.
hasMildSummers
Indicates that a place experiences relatively cool or moderate summer temperatures rather than hot or extreme heat.
-
D.
hasLowPopulationDensity
Indicates that the number of individuals or entities per unit area in a given region is relatively small compared to typical or expected levels.
-
E.
hasHighPrecipitation
Indicates that a location or time period experiences a large amount of precipitation, such as rain or snow, relative to a defined standard or average.
- F. None of above. chosen
Provenance (4 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 26, 2026, 8:01 p.m.