Triple
T35162391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellingham Bay estuarine system |
E1015301
|
entity |
| Predicate | mixesFreshwaterFrom |
P171992
|
FINISHED |
| Object | regional rivers |
—
|
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: regional rivers | Statement: [Bellingham Bay estuarine system, mixesFreshwaterFrom, regional rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixesFreshwaterFrom Context triple: [Bellingham Bay estuarine system, mixesFreshwaterFrom, regional rivers]
-
A.
mixesFreshwaterWith
chosen
Indicates that one entity combines freshwater with another substance, medium, or body of water.
-
B.
receivesFreshwaterFrom
Indicates that one entity is supplied with or obtains freshwater from another entity as its source.
-
C.
isSharedFreshwaterResourceOf
Indicates that a freshwater resource (such as a river, lake, or aquifer) is jointly used, managed, or claimed by multiple parties (e.g., states, regions, or communities).
-
D.
feedsWatersThatReach
Indicates that one body of water supplies or contributes flow to other waters that it eventually reaches.
-
E.
hasFreshwaterSection
Indicates that an entity includes or contains a distinct section or area composed of freshwater.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d2c63408190aa9a1bfc18a3e021 |
completed | May 3, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.