Triple
T4244179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missoula floods |
E95487
|
entity |
| Predicate | maximumLakeVolume |
P13057
|
FINISHED |
| Object | approximately 2,100 cubic kilometers |
—
|
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: approximately 2,100 cubic kilometers | Statement: [Missoula floods, maximumLakeVolume, approximately 2,100 cubic kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLakeVolume Context triple: [Missoula floods, maximumLakeVolume, approximately 2,100 cubic kilometers]
-
A.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
C.
waterVolume
chosen
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
E.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8c42e88190b309a1ef7f6529ac |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.