Triple
T24403764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden Water (historical/variant usage) |
E615249
|
entity |
| Predicate | appliedToFeatureType |
P17265
|
FINISHED |
| Object | river |
—
|
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 | Statement: [Eden Water (historical/variant usage), appliedToFeatureType, river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToFeatureType Context triple: [Eden Water (historical/variant usage), appliedToFeatureType, river]
-
A.
appliesToFeature
chosen
Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
-
B.
appliesToPropertyType
Indicates that something (such as a rule, constraint, or operation) is relevant to or valid for a specific type of property.
-
C.
appliesToDataType
Indicates that a rule, operation, or construct is specifically intended to be used with, or is valid for, a particular data type.
-
D.
appliedToEntityType
Indicates that something (such as a rule, constraint, or operation) is specifically applied to entities of a given type.
-
E.
appliesToSegmentType
Indicates that a rule, condition, or operation is specifically associated with and relevant to a particular type of segment.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dcf7f4819094d2a3be163a5822 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.