Triple
T29032539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Della Falls |
E737765
|
entity |
| Predicate | heightRankingInCanada |
P117089
|
FINISHED |
| Object | among tallest waterfalls in Canada |
—
|
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: among tallest waterfalls in Canada | Statement: [Della Falls, heightRankingInCanada, among tallest waterfalls in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightRankingInCanada Context triple: [Della Falls, heightRankingInCanada, among tallest waterfalls in Canada]
-
A.
rankingInCanadaByHeight
chosen
Indicates that entities are ordered or assigned a position based on their height specifically within the context of Canada.
-
B.
hasPopulationRankInCanada
Indicates the relative position of an entity’s population size compared to other entities within Canada.
-
C.
rankInBritishColumbiaByHeight
Indicates the ordinal position of an entity in a height-based ranking specifically within the context of British Columbia.
-
D.
economicRankInCanada
Indicates the relative economic standing or ranking of an entity within the context of Canada’s economy.
-
E.
heightRankingInSwitzerland
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of Switzerland.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603a0d14819090b1221d94fc5d66 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:56 a.m.