Triple
T4244180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missoula floods |
E95487
|
entity |
| Predicate | maximumLakeDepth |
P35925
|
FINISHED |
| Object | over 600 meters at the ice dam |
—
|
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: over 600 meters at the ice dam | Statement: [Missoula floods, maximumLakeDepth, over 600 meters at the ice dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLakeDepth Context triple: [Missoula floods, maximumLakeDepth, over 600 meters at the ice dam]
-
A.
lakeMaximumDepth
chosen
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
B.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
C.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
D.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
-
E.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
- 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.