Triple
T19183495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virje Waterfall |
E469636
|
entity |
| Predicate | poolDepth |
P134771
|
FINISHED |
| Object | relatively deep in places |
—
|
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: relatively deep in places | Statement: [Virje Waterfall, poolDepth, relatively deep in places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poolDepth Context triple: [Virje Waterfall, poolDepth, relatively deep in places]
-
A.
poolSize
Indicates the total number of items, resources, or units available within a defined shared pool.
-
B.
poolWidth
Indicates the horizontal measurement or extent of a pool from one side to the opposite side.
-
C.
pipelineDepth
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
D.
hasChannelDepth
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
-
E.
hasPortDepth
Indicates that a port possesses a specific water depth suitable for accommodating vessels.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61e1c248190ba9e220c1be61ef8 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:07 p.m.