Triple
T34185750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île de la Tour |
E876953
|
entity |
| Predicate | isArtificialLakeIsland |
P178499
|
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: [Île de la Tour, isArtificialLakeIsland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isArtificialLakeIsland Context triple: [Île de la Tour, isArtificialLakeIsland, true]
-
A.
isArtificialLake
Indicates that a body of water is a man-made or human-constructed lake rather than a naturally formed one.
-
B.
hasArtificialLakes
Indicates that one entity possesses, contains, or includes one or more man-made lakes within its area or domain.
-
C.
isOnIslandInLake
Indicates that one entity is located on an island that is situated within a lake associated with another entity.
-
D.
isLakeType
Indicates that one entity is a specific type or category of lake in relation to another entity.
-
E.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.