Triple
T28173862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North America and Africa |
E715534
|
entity |
| Predicate | haveApproximateMinimumDistanceOf |
P37106
|
FINISHED |
| Object | about 2,800 kilometers across the Atlantic Ocean |
—
|
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 2,800 kilometers across the Atlantic Ocean | Statement: [North America and Africa, haveApproximateMinimumDistanceOf, about 2,800 kilometers across the Atlantic Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveApproximateMinimumDistanceOf Context triple: [North America and Africa, haveApproximateMinimumDistanceOf, about 2,800 kilometers across the Atlantic Ocean]
-
A.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
B.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
minimumDistanceRequirement
Indicates that there is a required minimum distance that must be maintained between the related entities.
-
D.
approximateDistanceFrom
chosen
Indicates an estimated or rough measure of how far one entity is from another.
-
E.
hasWellMeasuredDistances
Indicates that accurate and reliable distance measurements have been obtained between the related entities.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6423853ec8190892ecc3e097deeb3 |
completed | May 2, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:14 p.m.