Triple
T33975032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac à l’Eau Claire |
E871112
|
entity |
| Predicate | diameterOfWesternBasin_km |
P96068
|
FINISHED |
| Object | about 32 |
—
|
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: about 32 | Statement: [Lac à l’Eau Claire, diameterOfWesternBasin_km, about 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diameterOfWesternBasin_km Context triple: [Lac à l’Eau Claire, diameterOfWesternBasin_km, about 32]
-
A.
lakeDiameter
chosen
Indicates the measured straight-line distance across a lake, typically through its center, representing the lake’s diameter.
-
B.
largestDrainageBasinIn
Indicates that a geographic feature has the largest drainage basin within a specified area or region.
-
C.
maximumLake
Indicates that the subject entity is the lake with the greatest value (such as size, volume, or another specified measure) among a given set of lakes.
-
D.
craterLakeDiameter
Indicates the measurement of the diameter of a crater lake associated with a given crater or location.
-
E.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.