Triple
T10982441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medano Creek |
E259540
|
entity |
| Predicate | hasFlowPattern |
P8151
|
FINISHED |
| Object | braided channels |
—
|
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: braided channels | Statement: [Medano Creek, hasFlowPattern, braided channels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowPattern Context triple: [Medano Creek, hasFlowPattern, braided channels]
-
A.
hasFlowType
Indicates the type or category of flow associated with or exhibited by an entity.
-
B.
hasPattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
C.
hasFlowLayer
Indicates that one entity possesses or is associated with a specific flow layer within a layered or stratified structure.
-
D.
hasTrafficPattern
Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
-
E.
hasUsePattern
Indicates a characteristic or recurring way in which something is typically used or applied.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772eb518c8190a885a417815f2ff6 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.