Triple
T16194488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powerscourt Estate |
E393026
|
entity |
| Predicate | waterfallInstanceOf |
P13549
|
FINISHED |
| Object | highest waterfall in Ireland |
—
|
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: highest waterfall in Ireland | Statement: [Powerscourt Estate, waterfallInstanceOf, highest waterfall in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallInstanceOf Context triple: [Powerscourt Estate, waterfallInstanceOf, highest waterfall in Ireland]
-
A.
hasWaterfallType
Indicates that one entity is characterized by or associated with a specific type or classification of waterfall.
-
B.
instanceOf
relation of type constraints
-
C.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
D.
hasWaterfall
chosen
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
E.
WestTunnelInstanceOf
Indicates that something is an instance or specific occurrence of a west tunnel.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d851188190b2452d165e4fc4bd |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.