Triple
T1840199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equatorial Countercurrent |
E41159
|
entity |
| Predicate | hasTypicalLatitudeRange |
P13474
|
FINISHED |
| Object | about 3°N to 10°N in the Pacific and Atlantic |
—
|
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: about 3°N to 10°N in the Pacific and Atlantic | Statement: [Equatorial Countercurrent, hasTypicalLatitudeRange, about 3°N to 10°N in the Pacific and Atlantic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalLatitudeRange Context triple: [Equatorial Countercurrent, hasTypicalLatitudeRange, about 3°N to 10°N in the Pacific and Atlantic]
-
A.
liesWithinLatitudeBand
Indicates that one geographic entity is located within a specified range of latitudes defined as a latitude band.
-
B.
regionLongitudeRange
Indicates the longitudinal span or interval that defines the east–west extent of a region.
-
C.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
D.
hasTropicOfCancerCrossing
Indicates that the specified entity is geographically intersected or crossed by the Tropic of Cancer.
-
E.
hasTypicalUsageRegion
Indicates that something is most commonly or characteristically used within a particular geographic region.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.