Triple
T15068249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan Dam reservoir |
E379808
|
entity |
| Predicate | isArtificialLake |
P117187
|
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: [Duncan Dam reservoir, isArtificialLake, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isArtificialLake Context triple: [Duncan Dam reservoir, isArtificialLake, true]
-
A.
hasArtificialLakes
Indicates that one entity possesses, contains, or includes one or more man-made lakes within its area or domain.
-
B.
isLakeType
Indicates that one entity is a specific type or category of lake in relation to another entity.
-
C.
isUrbanLake
Indicates that a given lake is located within or closely associated with an urban or metropolitan area.
-
D.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
-
E.
isSmallLake
Indicates that the subject is a lake characterized by relatively small size or limited surface area.
- F. None of above. chosen
Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:02 a.m.