Triple
T23437701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wli Waterfalls |
E563509
|
entity |
| Predicate | heightRankingInGhana |
P152278
|
FINISHED |
| Object | tallest waterfall in Ghana |
—
|
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: tallest waterfall in Ghana | Statement: [Wli Waterfalls, heightRankingInGhana, tallest waterfall in Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightRankingInGhana Context triple: [Wli Waterfalls, heightRankingInGhana, tallest waterfall in Ghana]
-
A.
regionCapitalRankInGhana
Indicates the ordinal ranking of a city as a regional capital within Ghana.
-
B.
rankingByHeightInAfrica
Indicates that entities are ordered or compared based on their height specifically within the context of Africa.
-
C.
rankingByHeightInZimbabwe
Indicates an ordering of entities based on their height specifically within the context or population of Zimbabwe.
-
D.
populationRankInBurkinaFaso
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
E.
countryRankByHeightAtCompletion
Indicates the position of a country in an ordered list based on the height of something (typically a structure or project) at the time it was completed.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dda7448190b6c686e0db4f4f2f |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:50 p.m.