Triple
T15027162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celilo Falls |
E378246
|
entity |
| Predicate | impactOfInundation |
P106728
|
FINISHED |
| Object | loss of traditional fishing sites |
—
|
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: loss of traditional fishing sites | Statement: [Celilo Falls, impactOfInundation, loss of traditional fishing sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfInundation Context triple: [Celilo Falls, impactOfInundation, loss of traditional fishing sites]
-
A.
floodConsequence
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
B.
impactOfSubmergence
chosen
Indicates the effect or consequences that submerging one entity (typically in a fluid or environment) has on another entity or on its properties.
-
C.
impactOfDrainage
Indicates the effect or consequences that a drainage system or drainage activity has on a particular target or environment.
-
D.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
E.
infrastructureDamage
Indicates damage or destruction affecting physical infrastructure such as buildings, roads, utilities, or other constructed facilities.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:58 a.m.