Triple
T4041063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park River |
E83947
|
entity |
| Predicate | channelizedAs |
P34520
|
FINISHED |
| Object | underground conduit |
—
|
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: underground conduit | Statement: [Park River, channelizedAs, underground conduit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelizedAs Context triple: [Park River, channelizedAs, underground conduit]
-
A.
channelSeparatingFrom
Indicates that one channel is moving away or becoming detached from another channel or boundary.
-
B.
hasChannelizedSection
chosen
Indicates that a segment of a feature (such as a watercourse or flow path) has been modified or confined into an artificial or engineered channel.
-
C.
channels
Indicates that one entity serves as a medium, route, or conduit through which another entity is directed, transmitted, or delivered.
-
D.
channelOrder
Indicates the sequence or priority assigned to channels relative to one another.
-
E.
channelNumber
Indicates the specific numeric identifier assigned to a channel within a system or medium.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3a9314819095dcf47675eedb48 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.