Triple
T10796174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungeness River |
E254711
|
entity |
| Predicate | flowsIntoWaterBody |
P36348
|
FINISHED |
| Object | Pacific Ocean via Strait of Juan de Fuca |
—
|
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: Pacific Ocean via Strait of Juan de Fuca | Statement: [Dungeness River, flowsIntoWaterBody, Pacific Ocean via Strait of Juan de Fuca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsIntoWaterBody Context triple: [Dungeness River, flowsIntoWaterBody, Pacific Ocean via Strait of Juan de Fuca]
-
A.
flowsIntoBodyOfWaterType
Indicates that one body of water moves or drains into another body of water of a specified type (e.g., river, lake, ocean).
-
B.
inflowWatercourse
chosen
Indicates that one watercourse flows into or feeds another water body or watercourse.
-
C.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
D.
hasBodyOfWaterDrainedBy
Indicates that a body of water is emptied or its water flow is carried away by a specified draining feature, such as a river, channel, or drainage system.
-
E.
affectsWaterBody
Indicates that one entity has an impact on the condition, quality, or state of a water body.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.