Triple
T4158444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karok |
E91471
|
entity |
| Predicate | usesRiverFor |
P1477
|
FINISHED |
| Object | fishing |
—
|
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: fishing | Statement: [Karok, usesRiverFor, fishing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRiverFor Context triple: [Karok, usesRiverFor, fishing]
-
A.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
reachedRiver
Indicates that an entity has arrived at or come into contact with a river as a result of movement or travel.
-
C.
runOfTheRiver
Indicates a relationship where a hydroelectric facility operates using the natural flow and elevation drop of a river without significant water storage or regulation by a large reservoir.
-
D.
hasRiverActivity
chosen
Indicates that an entity engages in, supports, or is associated with activities occurring on or along a river.
-
E.
isUrbanRiverOf
Indicates that a river flows through or is located within an urban area associated with a specified place or city.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.