Triple
T17819034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alderson, West Virginia |
E444924
|
entity |
| Predicate | primaryRiverUse |
P121141
|
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: [Alderson, West Virginia, primaryRiverUse, recreation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRiverUse Context triple: [Alderson, West Virginia, primaryRiverUse, recreation]
-
A.
hasRiverUse
chosen
Indicates that one entity makes use of a river associated with another entity, such as for transport, irrigation, recreation, or other purposes.
-
B.
reservoirUse
Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
-
C.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
D.
basinUse
Indicates that a basin is used for a particular purpose, activity, or function.
-
E.
primaryHumanUse
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488812df081909771d51c54c405fe |
completed | April 19, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:15 a.m.