Triple
T227345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo River mouth |
E4339
|
entity |
| Predicate | hasApproximateDistanceFromEquator |
P9311
|
FINISHED |
| Object | about 6 degrees south |
—
|
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 6 degrees south | Statement: [Congo River mouth, hasApproximateDistanceFromEquator, about 6 degrees south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateDistanceFromEquator Context triple: [Congo River mouth, hasApproximateDistanceFromEquator, about 6 degrees south]
-
A.
hasEquatorialCircumference
Indicates that one entity has a specified measurement for its circumference at the equator.
-
B.
hasEquatorialRadius
Indicates that an entity has a specified radius measured at its equator.
-
C.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
-
D.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
E.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.