Triple
T11955833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaajakoski–Tikkakoski waterway |
E284549
|
entity |
| Predicate | waterBodyForm |
P1011
|
FINISHED |
| Object | river sections |
—
|
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: river sections | Statement: [Vaajakoski–Tikkakoski waterway, waterBodyForm, river sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyForm Context triple: [Vaajakoski–Tikkakoski waterway, waterBodyForm, river sections]
-
A.
waterBodyCreated
Indicates that one entity is responsible for the formation or creation of a particular body of water.
-
B.
waterbodyID
Indicates a unique identifier that links an entity to a specific body of water.
-
C.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
waterbodyType
chosen
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
E.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.