Triple
T7311150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Alexandrina |
E168091
|
entity |
| Predicate | isNaturalLake |
P58243
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lake Alexandrina, isNaturalLake, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNaturalLake Context triple: [Lake Alexandrina, isNaturalLake, true]
-
A.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
-
B.
isNaturalFeature
chosen
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
C.
isHighAltitudeLake
Indicates that a lake is situated at a relatively high elevation above sea level.
-
D.
isUrbanLake
Indicates that a given lake is located within or closely associated with an urban or metropolitan area.
-
E.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebff866081909916796d1b72aee8 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:02 p.m.