Triple
T13127271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Missoula basin |
E311875
|
entity |
| Predicate | floodEventsCount |
P108194
|
FINISHED |
| Object | dozens of major outburst floods (approximate) |
—
|
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: dozens of major outburst floods (approximate) | Statement: [Lake Missoula basin, floodEventsCount, dozens of major outburst floods (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodEventsCount Context triple: [Lake Missoula basin, floodEventsCount, dozens of major outburst floods (approximate)]
-
A.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
B.
notableFloodEvents
Indicates that there are significant or historically important flood occurrences associated with the given entity.
-
C.
floodRecord
Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
-
D.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
E.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
- F. None of above. chosen
Provenance (4 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.