Triple
T6028627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleistocene Lake Lahontan basin |
E134242
|
entity |
| Predicate | maximumLakeAreaApprox |
P27499
|
FINISHED |
| Object | 22000 square 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: 22000 square kilometers | Statement: [Pleistocene Lake Lahontan basin, maximumLakeAreaApprox, 22000 square kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLakeAreaApprox Context triple: [Pleistocene Lake Lahontan basin, maximumLakeAreaApprox, 22000 square kilometers]
-
A.
lakeArea
chosen
Indicates the surface area measurement of a lake.
-
B.
isOneOfLargestLakesByArea
Indicates that the subject lake ranks among the largest lakes in terms of surface area.
-
C.
largestLakeEntirelyIn
Indicates that one entity is the largest lake located entirely within the boundaries of another entity (such as a country, region, or territory).
-
D.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560fdc84819093abba13054ea1ee |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.