Triple
T7401666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Biwa |
E170762
|
entity |
| Predicate | isOneOfOldestLakesIn |
P46935
|
FINISHED |
| Object | the world |
—
|
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: the world | Statement: [Lake Biwa, isOneOfOldestLakesIn, the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestLakesIn Context triple: [Lake Biwa, isOneOfOldestLakesIn, the world]
-
A.
oneOfOldestLakesIn
chosen
Indicates that a lake is among the oldest lakes located within a specified geographic area or region.
-
B.
isOneOfLargestLakesByArea
Indicates that the subject lake ranks among the largest lakes in terms of surface area.
-
C.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
-
D.
isSecondLargestLakeIn
Indicates that a lake is the second largest lake within a specified geographic region or area.
-
E.
isOneOfLargestArtificialLakesIn
Indicates that a lake ranks among the largest artificial (man-made) lakes within a specified region or area.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.