Triple
T25478956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yser basin |
E638511
|
entity |
| Predicate | waterFlowsThrough |
P159762
|
FINISHED |
| Object | northern France |
—
|
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: northern France | Statement: [Yser basin, waterFlowsThrough, northern France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowsThrough Context triple: [Yser basin, waterFlowsThrough, northern France]
-
A.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
B.
waterExchangeThrough
Indicates a relationship where water is transferred or shared between entities through a specific medium, pathway, or mechanism.
-
C.
waterFlowDependsOn
Indicates that the occurrence, direction, or amount of water flow is determined or constrained by another specified factor or condition.
-
D.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
-
E.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 2:27 p.m.