Triple
T15696860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibo by the Saddle |
E380483
|
entity |
| Predicate | continentHighestPointRank |
P120337
|
FINISHED |
| Object | 1 in Africa |
—
|
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: 1 in Africa | Statement: [Kibo by the Saddle, continentHighestPointRank, 1 in Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentHighestPointRank Context triple: [Kibo by the Saddle, continentHighestPointRank, 1 in Africa]
-
A.
countryHighestPointRank
Indicates the relative ranking of a country's highest natural elevation compared to the highest points of other countries.
-
B.
countryHighestPeaksRank
Indicates the relative ranking position of a country based on the heights of its highest peaks compared to those of other countries.
-
C.
countryHighestPointAccess
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
-
D.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
-
E.
summitElevationRank
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.