Triple
T30195980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dierkes Lake Park |
E767629
|
entity |
| Predicate | hasSurfaceWaterUse |
P113471
|
FINISHED |
| Object | recreation |
—
|
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: recreation | Statement: [Dierkes Lake Park, hasSurfaceWaterUse, recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceWaterUse Context triple: [Dierkes Lake Park, hasSurfaceWaterUse, recreation]
-
A.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
B.
hasWatershedUse
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
C.
hasRiverUse
Indicates that one entity makes use of a river associated with another entity, such as for transport, irrigation, recreation, or other purposes.
-
D.
usesSurfaceWater
chosen
Indicates that one entity relies on or draws from surface water sources (such as rivers, lakes, or reservoirs) for its activities or needs.
-
E.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 7:29 p.m.